Nasdaq Artificial Intelligence

Google I/O 2024, Alphabet’s (NASDAQ:GOOGL) annual developer conference, was held on Tuesday (May 14) at the Shoreline Amphitheater in Mountain View, California.During the event, Google’s development team marked a new era in artificial intelligence (AI) by showcasing advances in Gemini, its AI assistant, along with other AI products and features across its portfolio. Read on to learn about five of the most important takeaways from the event. 1. Gemini advances keep coming I/O's keynote presentation centered on the advanced version of Gemini 1.5 Pro, which has a 1 million token context window. It was launched as an experimental feature in February. Sundar Pichai, Google's CEO, announced that the new model will become globally available to developers through Gemini Advanced starting in June. With a longer context window, Gemini can analyze more data at once, improving its understanding of complex data. Aside from that, the company revealed it will be offering a private preview of an even larger model of Gemini 1.5 Pro with a context window of 2 million tokens. It also introduced Gemini 1.5 Flash, a smaller, faster AI model.In addition, Pichai introduced new AI features coming to Google services. Enhanced Gemini interactions will enable users to communicate with AI through Google Messages. The upcoming Gemini Live feature, accessible to Gemini Advanced subscribers, offers a natural conversational experience by leveraging advanced speech technology. Users can converse with Gemini, select from various voices and interrupt for clarification. Gemini Live can assist in tasks such as job interview preparation and will integrate camera capabilities later this year for environment-based discussions.Google also launched Gems for Gemini Advanced subscribers, offering a personalized AI experience. Users can create custom Gemini versions and provide role descriptions such as "gym buddies" or "coding partners." Gemini will then process these inputs to generate tailored Gems for users to interact with. In the realm of search, Google announced the launch of AI Overviews in the US later this week; it said this feature will deliver nuanced, paragraph-long answers based on multi-step reasoning. Meanwhile, Ask Photos is a tool that can simplify recalling information from personal photos. “Say you’re paying at the parking station, but you can't recall your license plate number,” Pichai explained during a demonstration. "Before, you could search Photos for keywords and then scroll through years’ worth of photos, looking for license plates. Now, you can simply ‘Ask Photos.’ It knows the cars that appear often, it triangulates which one is yours, and tells you the license plate number.”Furthermore, Google introduced Search with Video, which allows users to ask questions and obtain detailed solutions by “showing” Google a live video feed. During the demonstration, one of Google’s developers asked Google to help her figure out why her record player wasn’t working and to identify a specific part. Google could tell what part of the record player she was asking about (the tonearm) and provided instructions for troubleshooting. 2. Workspace gets new AI features Google has also integrated Gemini 1.5 Pro into several of its Workspace services, introducing new features such as summaries located in side panels. This development lets users pull out key information from lengthy content such as email threads and documents. For example, Gemini can summarize an email thread and generate a response.NotebookLM’s series of AI-driven enhancements greatly improve its usability and intelligence. Greater contextual understanding makes it more effective at suggesting relevant connections, and advanced natural language processing abilities contribute to a more interactive experience with the platform; notably, NotebookLM can be interrupted, a feature it shares with GPT-4o, which was introduced at OpenAI's Spring Update on Monday (May 13). NotebookLM will basically function as a private tutor, generating study guides, quizzes and audio overviews based on input text material and more personalized adherence to learning styles. 3. Deep Mind shares Project Astra updates Google’s Deep Mind team unveiled one of its latest AI endeavors, Project Astra, which essentially replaces Google Assistant. Astra can “recall” past events by capturing video input and caching it in chronological order. Its capabilities echo those of GPT-4o, although Project Astra is not yet available to the public and its capabilities are still being refined.Deep Mind also introduced a suite of AI-enabled creative tools, including Imagen 3, an advanced image-generation model capable of producing images with rich details, precision and fewer distortions than previous models. In collaboration with YouTube, Google has also launched Music AI Sandbox, an innovative platform that offers musicians creative support. Musician Michael Rebillet likened it to having a friend offering creative suggestions. Musicians can now compose new instrumentals from scratch, experiment with sound transfer and enhance their tracks. Finally, there’s Veo, Google’s newest AI-powered video-generation software, which is capable of generating 1080p videos that are over a minute long. 4. Google teases arrival of Gemma 2 Google also teased the upcoming arrival of Gemma 2, the newest addition to its family of lightweight open models built on the same foundation as Gemini. Gemma 2, a 27 billion parameter model, will be optimized to run out of NVIDIA's (NASDAQ:NVDA) GPUs, and will offer enhanced performance and efficiency on a single TPU host in Vertex AI. According to developers, this will make Gemma 2 a more affordable model and will expand its range to a wider audience.They company also introduced a new addition to the Gemma family — PaliGemma is an open vision-language model available on multiple platforms like GitHub, Hugging Face, Kaggle and Vertex AI Model Garden. 5. AI comes to Android Finally, Google is set to transform the Android experience with AI built into the device. For Pixel users, Gemini Nano with multimodality offers richer image descriptions and scam alerts during phone calls. Google is bringing Gemini Nano's multimodal capabilities to TalkBack later this year, where it will enhance image descriptions for users who are blind or have low vision. With TalkBack, Gemini Nano will provide detailed and accurate information about images, even without an Internet connection. With Gemini on Android, users can ask questions about videos and PDFs, isolating specific features within images using Circle to Search. Market reaction Alphabet's share price has seen an overall positive trend this year, despite a temporary decline in valuation following lower-than-expected Q4 earnings. The company has rebounded since a tech stock selloff on March 6, and is up about 25 percent year-to-date. On Monday (March 13), the stock opened low amid rumors of a rival search tool from Microsoft (NASDAQ:MSFT) and OpenAI, but had recovered by the end of the day.Alphabet traded flat on the day of Google I/O. It closed Wednesday (May 15) at US$173.88. Don’t forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

“Momentum” is a word you hear a lot when people are talking about stocks.

OpenAI hosted its highly anticipated Spring Update event on Monday (May 13), with Chief Technology Officer Mira Murati showcasing “magical” updates to the company’s artificial intelligence (AI) technology, including a new ChatGPT desktop app for MacOS and a new simplified user interface on the desktop version.However, the main event was the launch of GPT-4o, OpenAI’s newest and most human-like model, featuring improved personalized responsiveness and contextual awareness. “GPT-4o provides GPT-4 intelligence, but it is much faster, and it improves on its capabilities across text, vision and audio,” said Murati during the live webcast.“For the past couple of years, we have been very focused on improving the intelligence of this model, and they have gotten pretty good. But this is the first time that we are really making a huge step forward when it comes to ease of use. This is incredibly important because we are looking at the future of interaction between ourselves and the machines," she continued. “We think that GPT-4o is really shifting the paradigm into the future of collaboration."During the event, Murati was joined on stage by OpenAI research leaders Mark Chen and Barret Zoph, who presented the latest features and improvements for ChatGPT. One key advancement was in real-time conversational speech, an improvement over Voice Mode. This new feature allows users to interrupt the model during conversations. Additionally, the response time of the model is now significantly faster, and the researchers demonstrated its ability to detect emotions in speech and generate a broader range of emotional responses. This was achieved by asking ChatGPT to tell a story to the audience while periodically interrupting it to ask for a change in tone.The demonstration also showcased ChatGPT’s vision capabilities, allowing users to interact with the model in real-time video conversation. The team demonstrated how ChatGPT can help users learn how to solve linear equations by “looking” at a live image of a simple math problem and walking them through how to solve it. The crew then upped the ante by sharing some code with ChatGPT’s Voice Mode via the desktop app. While ChatGPT wasn’t able to “see” the code, it could interpret what the code was requesting. The researchers then ran the code and “showed” ChatGPT the results using its vision capabilities and asked it to describe what it saw. ChatGPT was able to give precise information regarding weather patterns displayed on a graph and answered specific questions such as which months were the hottest and whether the temperature was shown in degrees Celsius or Fahrenheit. To wrap up, the team demonstrated some of ChatGPT’s most advanced skills, namely the ability to detect emotions by “looking” at a user's facial expressions and translating an English/Italian conversation in real time. The Spring Update event demonstrates OpenAI’s continued progress in creating cutting-edge AI technology and the immense potential of human-machine collaboration. GPT-4o will be incrementally integrated into OpenAI’s existing products over the next few weeks. The features demonstrated have already been made available, and users can expect more to come as the rollout progresses.Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

The US Securities and Exchange Commission (SEC) said this week that it is further delaying its decision on spot Ethereum exchange-traded funds (ETFs), dashing what little hope remained of an approval in 2024. Meanwhile, Apple (NASDAQ:AAPL) unveiled two newly designed iPads with artificial intelligence (AI) capabilities, and two tech companies reported their quarterly earnings, prompting very different reactions from investors. Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. SEC delays decision on Invesco Galaxy Spot Ethereum ETF This week brought bad news for investors waiting for the SEC's decision on spot Ethereum ETFs. The SEC said on Monday (May 6) that it will delay its decision on the proposed Invesco Galaxy Spot Ethereum ETF for the second time, this time until July 5. The regulator previously delayed its decision in February, calling for a 21 day public comment period. Franklin Templeton, VanEck and BlackRock (NYSE:BLK) are also awaiting spot Ethereum ETF decisions from the SEC. In late April, Reuters reported that meetings between the ETF issuers and the SEC were not proceeding smoothly, according to four anonymous sources who participated in the gatherings.On X, formerly Twitter, Bloomberg ETF analyst Eric Balchunas expressed a complete lack of optimism this week regarding the possibility of a spot Ethereum ETF receiving SEC approval within the year. In March, Balchunas estimated a slim 25 percent chance of approval, but he now believes that the odds have dwindled even further. In related news, according to a Tuesday (May 7) SEC filing, the NYSE Arca has withdrawn its application for a rule change that would allow Grayscale’s Ethereum futures ETF to trade on the exchange. The SEC previously delayed a decision on the rule change on April 23. 2. Apple reveals AI-capable iPads at Let Loose event Apple’s highly anticipated Let Loose event on Tuesday unveiled a range of exciting new products and updates focused primarily on enhanced performance, display technology and accessories for the firm's iPad lineup. The event centered around the introduction of new iPad Air and iPad Pro models and Apple’s latest silicon chip, the M4.The iPad Air, powered by the M2 chip, comes with a high-resolution Liquid Retina display, faster Wi-Fi connectivity, front-facing cameras with AI-enabled Center Stage technology and integration with cloud-based apps. As for the iPad Pro, it is powered by Apple’s new M4 chip and has its most advanced screen technology to date, the Ultra Retina XDR display. The new tablets will begin shipping on May 15. The M4 chip uses advanced 3 nanometer technology and features a new display engine to support the Ultra Retina XDR. Its central processing unit has up to 10 performance and efficiency cores, allowing it to perform complex tasks up to 1.5 times faster than the M2 chip.Additionally, its 10 core graphics processing unit is equipped with machine-learning accelerators and features Dynamic Caching, an innovative addition to the M3 chip family that allows for real-time memory allocation, improving overall efficiency. Finally, the chip includes a 16 core neural engine, Apple’s fastest to date, enabling on-device machine learning.Apple also introduced a new Magic Keyboard with a built-in trackpad that attaches magnetically to the iPad, and a more precise Apple Pencil Pro with a sensor that lets users easily switch between tools and adjust line weight. Aside from that, it announced new upgrades for Final Cut Pro and Logic Pro, adding AI features such as Live Multicam, Stem Splitter and ChromaGlow. The updates will be available on iPad and Mac on May 11 and May 13, respectively. 3. Arm Holdings and Reddit share quarterly earnings Arm Holdings (NASDAQ:ARM), a leading technology provider in the semiconductor industry, released a conservative revenue forecast on Wednesday (May 8), projecting that revenue for its 2025 fiscal year will range from US$3.8 billion to US$4.1 billion, with a projected profit of US$1.45 to US$1.65 per share. Analysts were predicting a profit of US$1.53 per share and revenue of US$4.01 billion.After trading at around US$70 in early February, an optimistic forecast released on February 7 caused Arm's share price to climb significantly, peaking at US$148.97 on February 12. However, this latest forecast instead led to a 6.22 percent decrease in share value after market closure, and Arm opened at US$99.57 on Thursday (May 9). In a conference call with analysts and shareholders shortly after the results were released, CFO Jason Child said Arm's 2026 and 2027 fiscal years will likely bring a revenue growth rate of at least 20 percent; by Friday (May 10), the firm's share price had risen to US$108.64, 4.55 percent higher than Monday’s open of US$103.99. Meanwhile, Reddit (NYSE:RDDT) released its first earnings report since going public on the NYSE. On March 21, the day it went public, the company was valued at nearly US$9 billion and its share price had surged from US$34 to US$50.44 by the time the market closed, peaking at over US$65 on March 26. It spent April in the US$40 to US$50 range.Reddit's earnings report, released on Tuesday, shows a revenue increase of 48 percent year-over-year to US$243 million, with ad revenue increasing 39 percent to US$222.7 million during that period. These numbers came in well above analysts' predictions of 29.62 percent growth for total revenue and 21 percent growth for ad revenue. The news sent the company's share price up from US$49 to US$58 at the end of trading on Tuesday before it retracted below US$50 on Thursday (May 9). As of the close of trading on Friday, Reddit was trading for US$53.53. 4. US revokes Huawei sales licenses for Intel and Qualcomm Bloomberg reported on Tuesday that the US government has revoked licenses previously held by Intel (NASDAQ:INTC) and Qualcomm (NASDAQ:QCOM) that allowed the companies to sell semiconductors to sanctioned Chinese tech company Huawei, a decision that will affect the sale of chips used in Huawei’s phones and laptops. According to House Foreign Affairs Committee Chairman Michael McCaul, who spoke to Bloomberg on Tuesday, the decision was made in an effort to prevent China from advancing its development of AI. Following the news, Intel adjusted its Q2 revenue expectations to below the midpoint of projections issued on April 25. Both companies experienced small share price drops when trading opened on Wednesday, but Qualcomm recovered quickly to its previous level. The latter company recently disclosed that it has already limited its business with Huawei. 5. Hugging Face launches new open-source robotics toolkit Hugging Face, a leading AI technology company, unveiled LeRobot, an open-source robotics toolkit that offers developers and researchers accessible tools and collaboration opportunities. The project, which is available on Microsoft’s (NASDAQ:MSFT) GitHub, is designed to provide developers with resources to build, train and deploy AI-powered robotics applications. Hugging Face has primarily focused on developing AI and natural language processing (NLP) tools. The company has created several open-source libraries, including the Transformer library, which provides a wide variety of NLP architectures; the Tokenizers library, which offers text tokenization algorithms for NLP tasks; and Hugging Face Hub, a platform for hosting and sharing pre-trained models, data sets and other resources. LeRobot is built on top of PyTorch, an open-source machine-learning library developed by Facebook’s AI research lab and used for developing and training deep-learning models. With the release of LeRobot, Hugging Face is expanding its focus beyond traditional AI software and venturing into the world of robotics hardware. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

The US Securities and Exchange Commission (SEC) said this week that it is further delaying its decision on spot Ethereum exchange-traded funds (ETFs), dashing what little hope remained of an approval in 2024. Meanwhile, Apple (NASDAQ:AAPL) unveiled two newly designed iPads with artificial intelligence (AI) capabilities, and two tech companies reported their quarterly earnings, prompting very different reactions from investors. Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. SEC delays decision on Invesco Galaxy Spot Ethereum ETF This week brought bad news for investors waiting for the SEC's decision on spot Ethereum ETFs. The SEC said on Monday (May 6) that it will delay its decision on the proposed Invesco Galaxy Spot Ethereum ETF for the second time, this time until July 5. The regulator previously delayed its decision in February, calling for a 21 day public comment period. Franklin Templeton, VanEck and BlackRock (NYSE:BLK) are also awaiting spot Ethereum ETF decisions from the SEC. In late April, Reuters reported that meetings between the ETF issuers and the SEC were not proceeding smoothly, according to four anonymous sources who participated in the gatherings.On X, formerly Twitter, Bloomberg ETF analyst Eric Balchunas expressed a complete lack of optimism this week regarding the possibility of a spot Ethereum ETF receiving SEC approval within the year. In March, Balchunas estimated a slim 25 percent chance of approval, but he now believes that the odds have dwindled even further. In related news, according to a Tuesday (May 7) SEC filing, the NYSE Arca has withdrawn its application for a rule change to allow Grayscale’s Ethereum futures ETF to trade on the exchange. The SEC previously delayed a decision on the rule change on April 23. 2. Apple reveals AI-capable iPads at Let Loose event Apple’s highly anticipated Let Loose event on Tuesday unveiled a range of exciting new products and updates focused primarily on enhanced performance, display technology and accessories for its iPad lineup. The event centered around the introduction of new iPad Air and iPad Pro models and Apple’s latest silicon chip, the M4.The iPad Air, powered by the M2 chip, comes with a high-resolution Liquid Retina display, faster Wi-Fi connectivity, front-facing cameras with AI-enabled Center Stage technology and integration with cloud-based apps. As for the iPad Pro, it is powered by Apple’s new M4 chip and has its most advanced screen technology to date, the Ultra Retina XDR display. The new tablets will begin shipping on May 15. The M4 chip uses advanced 3 nanometer technology and features a new display engine to support the Ultra Retina XDR. Its central processing unit has up to 10 performance and efficiency cores, allowing it to perform complex tasks up to 1.5 times faster than the M2 chip.Additionally, its 10 core graphics processing unit is equipped with machine-learning accelerators and features Dynamic Caching, an innovative addition to the M3 chip family that allows for real-time memory allocation, improving overall efficiency. Finally, the chip includes a 16 core neural engine, Apple’s fastest to date, enabling on-device machine learning.Apple also introduced a new Magic Keyboard with a built-in trackpad that attaches magnetically to the iPad, and a more precise Apple Pencil Pro with a sensor that lets users easily switch between tools and adjust line weight. Aside from that, it announced new upgrades for Final Cut Pro and Logic Pro, adding AI features such as Live Multicam, Stem Splitter and ChromaGlow. The updates will be available on iPad and Mac on May 11 and May 13, respectively. 3. Arm Holdings and Reddit reveal quarterly earnings Arm Holdings (NASDAQ:ARM), a leading technology provider in the semiconductor industry, released a conservative revenue forecast on Wednesday (May 8), projecting that revenue for its 2025 fiscal year will range from US$3.8 billion to US$4.1 billion, with a projected profit of US$1.45 to US$1.65 per share. Analysts were predicting a profit of US$1.53 per share and revenue of US$4.01 billion.After trading at around US$70 in early February, an optimistic forecast released on February 7 caused Arm's share price to climb significantly, peaking at US$148.97 on February 12. However, this latest forecast instead led to a 6.22 percent decrease in share value after market closure, and Arm opened at US$99.57 on Thursday (May 9). In a conference call with analysts and shareholders shortly after the results were released, CFO Jason Child said Arm's 2026 and 2027 fiscal years will likely bring a revenue growth rate of at least 20 percent; by Friday (May 10), the firm's share price had risen to US$108.64, 4.55 percent higher than Monday’s open of US$103.99. Meanwhile, Reddit (NYSE:RDDT) released its first earnings report since going public on the NYSE. On March 21, the day it went public, the company was valued at nearly US$9 billion and its share price had surged from US$34 to US$50.44 by the time the market closed, peaking at over US$65 on March 26. It spent April in the US$40 to US$50 range.Reddit's earnings report, released on Tuesday, shows a revenue increase of 48 percent year-over-year to US$243 million, with ad revenue increasing 39 percent to US$222.7 million during that period. These numbers came in well above analysts' predictions of 29.62 percent growth for total revenue and 21 percent growth for ad revenue. The news sent the company's share price up from US$49 to US$58 at the end of trading on Tuesday before it retracted below US$50 on Thursday (May 9). As of the close of trading on Friday, Reddit was trading for US$53.53. 4. US revokes Huawei sales licenses for Intel and Qualcomm Bloomberg reported on Tuesday that the US government has revoked licenses previously held by Intel (NASDAQ:INTC) and Qualcomm (NASDAQ:QCOM) that allowed the companies to sell semiconductors to sanctioned Chinese tech company Huawei, a decision that will affect the sales of chips used in Huawei’s phones and laptops. According to House Foreign Affairs Committee Chairman Michael McCaul, who spoke to Bloomberg on Tuesday, the decision was made in an effort to prevent China from advancing its development of AI. Following the news, Intel adjusted its Q2 revenue expectations to below the midpoint of projections issued on April 25. Both companies experienced small share price drops when trading opened on Wednesday, but Qualcomm recovered quickly to its previous level. The latter company recently disclosed that it has already limited its business with Huawei. 5. Hugging Face launches new open-source robotics toolkit Hugging Face, a leading AI technology company, unveiled LeRobot, an open-source robotics toolkit that offers developers and researchers accessible tools and collaboration opportunities. The project, which is available on Microsoft’s (NASDAQ:MSFT) GitHub, is designed to provide developers with resources to build, train and deploy AI-powered robotics applications. Hugging Face has primarily focused on developing AI and natural language processing (NLP) tools. The company has created several open-source libraries, including the Transformer library, which provides a wide variety of NLP architectures; the Tokenizers library, which offers text tokenization algorithms for NLP tasks; and Hugging Face Hub, a platform for hosting and sharing pre-trained models, data sets and other resources. LeRobot is built on top of PyTorch, an open-source machine-learning library developed by Facebook’s AI research lab and used for developing and training deep-learning models. With the release of LeRobot, Hugging Face is expanding its focus beyond traditional AI software and venturing into the world of robotics hardware. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Artificial intelligence (AI) has been pegged by some as sparking the fourth industrial revolution, with many industries and countries investing heavily in this emerging technology.Allied Market Research estimates that there will be massive growth in AI over the next several years, with revenues reaching more than US$3.64 trillion in 2033, up from US$153.6 billion in 2023. Last year was an inflection point in the AI market following the launch of OpenAI's ChatGPT AI chatbot, prompting some of the world’s biggest tech companies such as Microsoft (NASDAQ:MSFT), NVIDIA (NASDAQ:NVDA) and Alphabet’s (NASDAQ:GOOG) Google to advance on their own AI initiatives. As we move deeper into 2024 and beyond, AI technology is taking root across a myriad of industries from healthcare and finance to manufacturing and transportation.With that in mind, here the Investing News Network provides an overview of how to invest in AI for those interested in stepping into this complex and ever-growing sector. What is artificial intelligence? AI is defined by IBM (NYSE:IBM) as “technology that enables computers and machines to simulate human intelligence and problem-solving capabilities”. As concrete examples of AI, the tech firm lists digital assistants, GPS guidance, autonomous vehicles, and generative AI tools (like Open AI's Chat GPT).AI and machine learning often get intertwined, but they are not the same thing. Putting it into simple terms, machine learning is a subset of AI. It's how a system looks at complex sets of data and learns from this information, while AI is how the data is expressed. The rapid development of machine learning and subsequently AI technology in recent years can be attributed to significant advancements in graphics processing units (GPUs) which have allowed for the creation of powerful chips that can support machine learning and the training of AI models. What is the outlook for artificial intelligence? According to Allied Market Research, advancements in big data and the need to quickly analyze large datasets to generate actionable insights have contributed greatly to the accelerated adoption of AI technologies. The research firm sees the healthcare, banking, automotive, and e-commerce industries as sectors for continued growth in new AI applications. In addition, AI-driven automation and robotics are also driving growth in this market. The report suggests North America will largely dominate the space due to its leading players, high government investment in AI and a strong technical base.For its part, Fortune Business Insights is projecting a value of US$2.74 trillion for the AI market by 2032. The firm expects to see more partnerships and collaboration, a rise in small-scale AI providers, and increasing government investment as helping to grow the market space. The report’s authors point to Asia-Pacific as the region which will see the most growth over the forecast period, driven in large part by “China’s dominance over AI research”.Narrowing down to the generative AI market, Grand View Research is forecasting that this segment of the overall AI market will see a compound annual growth rate of 36.5 percent to reach US$109.37 billion by 2030. The report finds that the software segment is likely to account for the highest revenue share over the forecast period. “Rising use of generative AI-based software owing to its benefits, such as better image resolution, reduced conversion time, enhanced performance, and quick availability of output is attributed to market growth,” stated the firm. How to invest in artificial intelligence? With such growth potential in the AI market in the coming years, investors may very well want to dive into the sector. There are a number of ways to do so, including exchange-traded funds (ETFs) and stocks. Artificial intelligence exchange-traded funds For those who would rather invest broadly in AI rather than in a specific company, ETFs are a popular option. Here’s a brief overview of three AI ETFs for investor consideration:Global X Robotics & Artificial Intelligence Thematic (NASDAQ:BOTZ): The fund began on September 12, 2016, and its top holdings include NVIDIA, ABB (OTC Pink:ABLZF,SWX:ABBN), Intuitive Surgical (NASDAQ:ISRG) and Keyence (OTC Pink:KYCCF,TSE:6861).ARK Autonomous Technology & Robotics ETF (NYSEAMERICAN:ARKQ): This fund was started on September 30, 2014, and its top holdings are Kratos Defense & Security Solutions (NASDAQ:KTOS), Tesla (NASDAQ:TSLA), Teradyne (NASDAQ:TER), and Trimble (NASDAQ:TRMB).Robo Global Robotics and Automation Index (NASDAQ:ROBO): The Robo Global Robotics and Automation Index began on October 22, 2013, and its top holdings include Intuitive Surgical, Rockwell Automation (NASDAQ:ROK), IPG Photonics (NASDAQ:IPGP and Zebra Technologies (NASDAQ:ZBRA). Artificial intelligence stocks Investors looking to put money into AI stocks also have quite a few options available to them.To help potential AI investors get an idea of the various sectors available to them under the AI umbrella, the Investing News Network has put together a number of lists:5 Canadian Artificial Intelligence StocksASX AI Stocks: 5 Biggest CompaniesAI Stocks: 9 Biggest Companies12 Generative AI Stocks to WatchThese lists of AI companies of course provide only a small glimpse at the broader sector, but for those just learning about the AI investment opportunity they are a good place to start. This is an updated version of an article originally published by the Investing News Network in 2018.Don’t forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.

Apple (NASDAQ:AAPL) reported its Q2 earnings on Thursday, wrapping up two weeks of quarterly earnings reports.Meanwhile, researchers at the US Department of Energy discovered that automation could enhance economic opportunities in the US wind turbine industry, and the Department of Justice's case against Alphabet's Google (NASDAQ:GOOGL) wound down with closing arguments on Friday. Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. Spot crypto ETFs make their debut in Hong Kong Six spot Bitcoin and Ether ETFs launched in Hong Kong on Monday (April 29), generating US$11.2 million on the first trading day. The Bosera HashKey Bitcoin ETF (HKEX:3008), Bosera HashKey Ether ETF (HKEX:3009), ChinaAMC Bitcoin ETF (HKEX:3042), ChinaAMC Ether ETF (HKEX:3046), Harvest Bitcoin Spot ETF (HKEX:3439) and Harvest Ether Spot ETF (HKEX:3179) are the first spot crypto ETFs listed in Asia. According to a statement provided by Hong Kong Exchanges and Clearing (HKEX), the successful launch of three futures-based crypto ETFs — Samsung Bitcoin Futures Active ETF (HKEX:3135), CSOP Bitcoin Futures ETF (HKEX:3066) and CSOP Ether Futures ETF (HKEX:3068) — in 2022 led to a growing investor interest in virtual assets. Although the new assets are available to qualified foreign investors and investors in Hong Kong, the Chinese government has banned all crypto-related activities since 2021, leaving mainland Chinese investors out of the ecosystem. Unlike US-based spot Bitcoin ETFs, which can only be bought with dollars, Hong Kong’s spot crypto products permit investors to purchase ETFs with crypto and sell them for cash, or buy ETFs with cash and redeem them for cryptocurrency. The in-kind feature of Hong Kong’s spot crypto ETFs gives them a unique two-way investment flexibility.Compared to the January 10 US approval, which generated US$4.6 billion on the first day of trading, Hong Kong’s spot ETF debut seems lackluster. However, Bloomberg ETF analyst Eric Blachunas considers this figure commendable in the context of Hong Kong’s spot crypto ETFs already having substantial assets under management in place before trading began, indicating a more considerable level of investment than the trading volumes suggest. Another difference is that the Hong Kong Securities and Futures Commission conditionally approved the spot ETFs on April 15, making them available to investors before final approval. US regulators gave their full approval on the same day that trading began.“If you localize numbers this was BIG: eg ChinaAMC bitcoin ETF took in $123m on Day One,” he posted to X, formerly Twitter, on April 30. 2. Anthropic launches iOS app, new Team plan Software provider Anthropic, an AI startup founded by former executives at OpenAI, announced two updates for its AI chatbot Claude that will put the ChatGPT rival in the hands of more users. The company launched a new Team plan in which team members can create unique workspaces and leverage the AI capabilities of the Claude Model 3 family to manage workflow. It comes with built-in security and data protection, plus a range of administrative tools and a billing management system. Users will also get access to all the Claude Pro features like early access to new tools and priority access during high-traffic periods. In the press release, Anthropic indicated that additional features will be rolled out over the next few weeks. The team plan costs US$30 per user per month for a minimum of five team members. The second update is Anthropic’s release of an iOS app version of Claude free for all users. 3. DOJ and Google deliver closing arguments Closing arguments in the antitrust lawsuit against Alphabet’s Google were held on Thursday and Friday (May 2 and 3). The US Department of Justice (DOJ) and Google made their final statements before US District Judge Amit Mehta. The DOJ originally filed the lawsuit against Google in January 2023, accusing the company of illegally monopolizing the search engine and advertising markets by conducting exclusive deals with mobile carriers and mega-cap companies like Apple. A crucial aspect of the trial is the 21-year exclusive agreement between Google and fellow mega-cap tech company Apple. At first, Apple agreed to maintain Google as the default search engine on its web browser, Safari, at no cost. Later, the two companies agreed to share profits generated from search advertising. Kevin Murphy, a professor at the University of Chicago who took the stand as a witness for Google in November 2023, disclosed that Google pays Apple 36 percent of what it earns from search advertising through Safari. Court documents reveal that in 2020, 17.5 percent of Apple’s operating income came from payments from Google. In 2021, Google paid Apple more than US$1 billion per month to maintain its position, and in 2022 Google paid Apple a total of US$20 billion, a figure provided by Apple’s senior vice president of services, Eddy Cue. Despite accusations against Google that it engaged in anticompetitive behavior to maintain its dominance, the company has reiterated that it simply offers the best product and that people choose to use it over its competitors. “Google winning contracts because it has a better product is not a harm to the competitive process,” John Schmidtlein, the company’s lawyer, argued during the trial last fall. Judge Mehta is expected to issue a ruling in the Google antitrust case in the late summer or early autumn. 4. Automation could bring turbine blade production home In an excellent example of how robotics can be applied to solve real-world problems and improve working conditions for humans, researchers at the US Department of Energy’s National Renewable Energy Laboratory (NREL) are researching the use robots to address challenging working conditions in wind turbine production, specifically with the creation of the blades. Robots have been used to paint and polish blades in the past, but recent research has demonstrated that automation can be applied to trimming, grinding and sanding wind turbine blades. “I would consider it a success,” said Hunter Huth, a robotics engineer at NREL and lead author of the paper detailing the research, which was published in Wind Energy on Monday (April 29). “Not everything operated as well as we wanted it to, but we learned all the lessons we think we need to make it meet or exceed our expectations.”According to a news release on the NREL website, the motivation behind the research was to find cost-effective ways to produce blades in the US. High labor costs are one of the primary reasons that blades are made overseas, Hugh said. Although the robot’s performance in the research was not compared to that of a human, Huth said the point of the research was to develop an automated system to retain skilled labor. “The finishing process is very labor intensive and has a high job-turnover rate due to the harsh nature of the work,” he said. Post-molding work can be dangerous, requiring workers to wear protective clothing including respiratory gear and scale scaffolding. Huth also said consistency in manufacturing would improve with automation, and that a robot could sand with tougher abrasives than a human could. Although the process still has a long way to go to reach perfection — as in some cases the robot ground too much of the blade while in other cases it didn't grind enough — it's a promising step forward in the wind turbine production industry. 5. Apple Q2 earnings above analyst expectations Apple reported its Q2 earnings report after the closing bell on Thursday (May 2). At that time, Apple’s share price had fallen about 7 percent year-to-date as iPhone sales declined in the Greater China region. Apple is facing intensifying competition in China, with local Chinese brands like Huawei, HONOR and Xiaomi (OTC Pink:XIACF, HKEX:1810) continuing to grow. Ahead of the release, analysts predicted a year-over-year 4.75 percent decline in total revenue to US$90.3 billion, and revenue in the Greater China region to fall to US$15.87 billion. Additionally, iPhone revenue was expected to drop by 10.8 percent, iPad revenue by 11 percent and Mac revenue by 5 percent. Actual earnings beat estimates by a modest amount. The company’s quarterly revenue totaled US$90.8 billion, down by 4 percent year-over-year. Surprisingly, while sales in the Greater China region did drop year-over-year, they came in above expectations at US$16.37 billion. Mac sales also performed strongly, growing by 3.9 percent. However, iPhone sales were down 10 percent in line with expectations, and iPad sales fell by 16 percent. Ultimately, earnings per share came in at US$1.53, slightly above estimates of US$1.50. The company also announced a record-breaking US$110 billion share buyback program — the largest ever recorded and 22 percent higher than last year’s US$90 billion buyback — and raised its quarterly dividend by 4 percent to US$0.25 per share, payable on May 16. Additionally, Apple hinted at an exciting announcement during its upcoming product launch on May 7, with many speculating that it could be a new iPad. In response to these developments, shares surged 7.8 percent after hours on Thursday and opened at US$186.64 Friday morning, up 8.39 percent from Thursday morning. Apple closed the week at US$183.38. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Texas A&M Professor Korok Ray announced the launch of the Bitcoin Research Institute to explore the integration of Bitcoin and artificial intelligence.

Bitcoin's price held steady in its first week post-halving despite record exchange-traded fund (ETF) outflows.Meanwhile, a piece of stablecoin legislation could advance to a vote before this year's election in the US, and Tesla (NASDAQ:TSLA) faced a new investigation days after releasing its much-anticipated quarterly report. Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. Tesla, Meta, Alphabet and Microsoft release earnings All eyes were on major tech players this week as they reported their latest quarterly results. Elon Musk's Tesla shared its results on Tuesday (April 23). Although the company missed Wall Street earnings per share expectations by 11.11 percent, shares ended the week up nearly 20 percent, partially on news that the company will go forward with the production of an affordable electric vehicle model.On Wednesday (April 24), Meta (NASDAQ:META) announced a 27 percent annual revenue increase for Q1. The company expects its 2024 capital expenditures to fall in an increased range of US$35 billion to US$40 billion, which CFO Susan Li said will support infrastructure investments for Meta’s artificial intelligence (AI) strategy; however, higher expenditures and slower-than-anticipated sales growth sent shares down 14.74 percent on Friday (April 26) morning, the steepest fall since October 2022.Alphabet’s (NASDAQ:GOOGL) Q1 results, which came out on Thursday (April 25) exceeded analyst' expectations, with sales reaching US$67.6 billion and net income coming in at US$1.89 per share. Along with its results, the company announced its first dividend and a US$70 billion stock buyback, resulting in a 12 percent share price jump and a US$2 trillion market cap, its highest valuation since November 2021. Microsoft (NASDAQ:MSFT) also achieved strong financial results for the quarter, reporting a 17 percent year-on-year revenue increase and 20 percent growth in both operating income and diluted earnings per share. Cloud revenue from Azure rose 31 percent with 7 percent due to AI contributions. Shares rose to US$412.40 on Friday morning, a 3.35 percent increase from Thursday’s close. 2. Bitcoin price stabilizes in first week after halving On April 19 at approximately 8:10 p.m. EDT, the much-anticipated Bitcoin halving occurred, reducing the reward rate from 6.25 Bitcoins to 3.125. Bitcoin remained stable over the weekend, staying within the US$63,000 to US$65,000 range. Bitcoin opened this week with a slight uptick to US$64,936 on Monday (April 22) and closed the day at US$66,842. However, by midweek it had fallen below the US$65,000 mark, with factors such as weak corporate earnings, geopolitical tensions and global macroeconomic conditions possibly contributing to the decline. Bitcoin ETFs, which have taken in nearly US$54 billion since their approval in the US in January, faced challenges this week as investors withdrew nearly US$218 million on Thursday.The Fidelity Wise Origin Bitcoin Fund (BATS:FBTC) experienced its first significant decline in value on Thursday with a US$23 million drawdown. Similarly, BlackRock’s (NYSE:BLK) iShares Bitcoin Trust (NASDAQ:IBIT) saw its 71 day streak come to an end on Wednesday when daily inflows effectively hit zero.Bitcoin was holding steady in the US$63,000 range heading into the weekend. 3. Amazon debuts new generative AI tools On Tuesday, Amazon Bedrock, part of Amazon Web Services, announced a series of new features and updates designed to build more robust and secure AI applications, expand the platform’s capabilities and ensure the responsible use of AI technology. Among the key enhancements is the ability to import custom AI models, which will allow users to tailor applications to their specific needs. Aside from that, Amazon Bedrock has introduced new Amazon Titan models that are pre-trained for diverse AI tasks, providing advanced performance and versatility.Amazon Titan Text Embeddings V2 enhances the existing model for creating embeddings, which are numerical representations crucial for generating accurate responses in various AI applications. This updated version improves accuracy and reduces the computational resources and storage requirements needed for text processing, allowing developers to create more efficient and sophisticated AI applications that understand language more effectively. The Amazon Titan Image Generator has also been made generally available on Amazon Bedrock, along with Meta’s Llama 3. Cohere’s Command R and Command R+ are “coming soon,” according to a press release. Amazon Bedrock is also rolling out Guardrails, a built-in safeguard against harmful content. 4. Tesla faces renewed probe The National Highway Traffic Safety Administration (NHTSA) said on Friday that is conducting a renewed probe into Tesla’s Autopilot system. This investigation comes on the back of concerns over the effectiveness of a recent software update in preventing misuse, particularly regarding driver-monitoring safeguards. The NHTSA is seeking to determine if the update sufficiently addresses the safety concerns that prompted an initial recall of Tesla vehicles.In December 2023, Tesla was forced to recall 2.03 million vehicles after an NHTSA investigation found that the company’s Autopilot contained defects that “created unreasonable risk to motor vehicle safety.” According to the inquiry, the most recent probe into the company’s remedy comes after reports of at least 20 crashes involving vehicles that received Tesla’s software update, which requires owners to opt in but can easily be reversed. The probe was announced just days after Tesla reported its Q1 results. During an earnings call, Musk reaffirmed his commitment to the previously announced unveiling of an autonomous robotaxi on August 8. 5. Stablecoin bill could advance to House of Representatives "soon" A stablecoin bill may "soon" be ready to be sent to the US House of Representatives, according to Maxine Waters, the top Democrat on the House Financial Services Committee.The news has strengthened hopes that such a bill could be signed into law ahead of the election."We are on our way to getting a stablecoin bill in the short run,” she told Bloomberg on Wednesday, adding that the Federal Reserve, the Treasury Department and the White House have all contributed to crafting it. A new bill was originally presented by Senators Kirsten Gillibrand (D-NY) and Cynthia Lummis (R-WY) on April 17. It would require tokens to be fully backed by reserve assets and proposes a ban on algorithmic stablecoins like Terra, the essentially defunct stablecoin that was designed to maintain a 1:1 peg with the US dollar through an algorithmic mechanism that involved minting and burning Terra's native cryptocurrency, LUNA. Discussions among lawmakers have involved the possibility of pairing the stablecoin legislation with the SAFER Banking Act and attaching both to the Federal Aviation Administration spending bill, which must be passed by May 10. This pairing could potentially increase the chances of both bills being passed in Congress. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Microsoft (NASDAQ: MSFT) is a leader in the technology sector and has consistently demonstrated its ability to adapt and thrive within evolving technological environments. This shift of industry focus to Artificial Intelligence (AI) and cloud computing has positioned it at the f

Just over 40% of the corporate leaders said they expect to have smaller workforces because of AI.

Artificial intelligence (AI) may be an emerging technology, but there are plenty of billion-dollar companies in this space.As the market has grown over the past few years, AI technology has made strong inroads into several key industries, including logistics, manufacturing, finance, healthcare, customer service and cybersecurity.While AI-driven advancements in robotics have received the most press in recent years, the latest buzz has centered around OpenAI’s ChatGPT. This intelligent chatbot shows how quickly generative AI is advancing, and has attracted the attention of heavyweight technology companies such as Microsoft (NASDAQ:MSFT), which has reportedly invested billions of dollars in the privately held OpenAI. Alphabet (NASDAQ:GOOGL) has also released its own AI chat tool, Google Gemini.On a global scale, Fortune Business Insights predicts that the AI industry will experience a compound annual growth rate of 20.2 percent between 2024 and 2032 to reach a market value of more than US$2.74 trillion. Here the Investing News Network profiles some of the biggest AI stocks by market cap on US, Canadian and Australian stock exchanges. Data was gathered on April 12, 2024, using TradingView’s stock screener. American AI stocks According to Tracxn Technologies, the number of US AI companies has more than doubled since 2017 with over 70,700 companies working in the sector today. One of the major factors fueling growth in the American AI market, states Statista, is “the growing investments and partnerships among technology companies, research institutions, and governments".Below are three of the top US AI stocks. 1. Microsoft (NASDAQ:MSFT) {"@context":"http://schema.org","@type":"Corporation","name":"Microsoft","url":"https://www.microsoft.com","description":"Microsoft develops and licenses consumer and enterprise software. It is known for its Windows operating systems and Office productivity suite.","tickerSymbol":"NGS:MSFT","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=46928538&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=46928538&width=210"} Company Profile Market cap: US$3.134 trillion; share price: US$421.74In addition to the reported billions Microsoft is committed to investing in OpenAI, the technology behemoth has built its own AI solutions based on the chatbot creator’s technology: Bing AI and Copilot. OpenAI officially licensed its technologies to Microsoft in 2020. An update to Windows 11 in 2023 integrated Bing into the operating system's search bar, allowing users to interact with the chatbot directly with Microsoft's Edge browser, Chrome and Safari. Microsoft’s moves into generative AI have translated into higher revenues for its Azure cloud computing business, and a higher market capitalization as the tech giant pushed past the US$3 trillion mark in January 2024. The company is also expected to unveil its first AI PC this year. Buy now , 2. NVIDIA (NASDAQ:NVDA) {"@context":"http://schema.org","@type":"Corporation","name":"NVIDIA Corporation","url":"https://www.nvidia.com","description":"Nvidia is the top designer of discrete graphics processing units that enhance the experience on computing platforms. The firm's chips are used in a variety of end markets, including high-end PCs for gaming, data centers, and automotive infotainment systems. In recent years, the firm has broadened its focus from traditional PC graphics applications such as gaming to more complex and favorable opportunities, including artificial intelligence and autonomous driving, which leverage the high-performance capabilities of the firm's products.","tickerSymbol":"NASDAQ:NVDA:US","sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=32695260&width=980","logo":"https://investingnews.com/media-library/image.gif?id=32695260&width=210"} Company Profile Market cap: US$2.215 trillion; share price: US$866.11The global leader in graphics processing unit (GPU) technology, NVIDIA is designing specialized chips used to train AI and machine learning models for laptops, workstations, mobile devices, notebooks, and PCs. The company is partnering with a number of big name tech firms to bring a number of key AI products to market. Through its partnership with Dell Technologies (NYSE:DELL), NVIDIA is developing AI applications for enterprises, such as language-based services, speech recognition and cybersecurity. The chip maker has been instrumental in the build out of Meta Platforms’ (NASDAQ:META) AI supercomputer called the Research SuperCluster, which reportedly uses a total of 16,000 of NVIDIA's GPUs. Most recently, NVIDIA and the Taiwan Semiconductor Manufacturing Company (NYSE:TSM) have developed the world's first multi-die chip specifically designed for AI applications: the Blackwell GPU. Blackwell’s architecture allows for the increased processing power needed to train larger and more complex AI models.NVIDIA’s AI ambitions were on full display at its GPU Technology Conference in March where CEO Jensen Huang presented his company’s plans to build humanoid robots, known as Project GR00T. “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today,” stated Huang in his keynote presentation.Buy now , 3. Alphabet (NASDAQ:GOOGL) {"@context":"http://schema.org","@type":"Corporation","name":"Alphabet Inc.","url":"https://www.abc.xyz","description":"Alphabet Inc is a holding company, with Google, the Internet media giant, as a wholly owned subsidiary. Google generates 99% of Alphabet revenue, of which more than 85% is from online ads. Google's other revenue is from sales of apps and content on Google Play and YouTube, as well as cloud service fees and other licensing revenue. Sales of hardware such as Chromebooks, the Pixel smartphone, and smart homes products, which include Nest and Google Home, also contribute to other revenue. Alphabet's moonshot investments are in its other bets segment, where it bets on technology to enhance health (Verily), faster Internet access to homes (Google Fiber), self-driving cars (Waymo), and more. Alphabet's operating margin has been 25%-30%, with Google at 30% and other bets operating at a loss.","tickerSymbol":"NASDAQ:GOOGL","sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=29940332&width=980","logo":"https://investingnews.com/media-library/image.gif?id=29940332&width=210"} Company Profile Market cap: US$1.967 trillion; share price: US$158.92Alphabet holds court with both Microsoft and NVIDIA as part of the tech sector’s Magnificent 7, and its foray into AI has also brought the tech giant much success. As of April 12, Alphabet’s market cap looks set to surpass the US$2 trillion mark. It would seem investors still remain confident in the potential for growth in Alphabet’s AI ventures despite its hiccups in the rollout of its subsidiary Google’s AI chatbot Gemini, formerly called Bard. “While the headlines haven’t been favorable, Google’s role in generative AI products will present massive growth opportunities for the stock,” said Sylvia Jablonski, chief executive officer at Defiance ETFs.In early April, Google introduced a custom AI chip designed for its cloud services customers. Set to be delivered later this year, the technology uses British semiconductor company Arm Holding's (NASDAQ:ARM) AI architecture. In the same week, Google revealed its new A3 Mega AI processor based on NVIDIA’s H100 Technology.Buy now , Canadian AI stocks Recognized as a world-leading AI research hub, Canada ranks fifth out of 54 countries in the Global AI Index. Since 2017, the Canadian government has invested hundreds of millions of dollars into accelerating the research and commercialization of AI technology in the country through the Pan-Canadian Artificial Intelligence Strategy. Recent research by IBM (NYSE:IBM) says Canadian businesses are increasingly adopting AI, with 37 percent of IT professionals in large enterprises reporting that they have deployed the technology in their operations.Below are three of the top Canadian AI stocks. 1. CGI (TSX:GIB.A) {"@context":"http://schema.org","@type":"Corporation","name":"CGI Class A Subordinate Voting Shares","url":"https://investingnews.com/stocks/tsx-gib-a/cgi-class-a-subordinate-voting-shares/","description":"CGI Inc. is a Canada-based IT-services provider with an embedded position in North America and Europe.","tickerSymbol":"TSX:GIB.A","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=52004774&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=52004774&width=210"} Company Profile Market cap: US$33.238 billion; share price: US$143.45Montreal-based CGI is among the world’s largest IT systems integration companies, and offers a wide range of services, from cloud migration and digital transformation to data analysis, fraud detection, and even supply chain optimization. Its more than 700 clients span the retail, wholesale, consumer packaged goods and consumer services sectors worldwide.Through a partnership with Google, CGI is leveraging the Google Cloud Platform to strengthen the capabilities of its CGI PulseAI™ solution, which can be integrated with existing applications and workflows.CGI is aggressively working to expand its generative AI capabilities and client offerings, and reportedly is planning to invest US$1 billion into its AI offerings. In early March, the company launched Elements360 ARC-IBA, an AI powered platform for brokers and insurers to settle accounts in the UK broking industry. Buy now , 2. OpenText (TSX:OTEX) {"@context":"https://schema.org","@type":"Corporation","name":"Open Text Corporation","url":"https://www.opentext.com","description":"Open Text Corp grew out of a technology project involving the Oxford English Dictionary at Canada's University of Waterloo in the mid-1980s. Its software allows clients to archive, aggregate, retrieve, and search unstructured information (such as documents, e-mail, and presentations). The OpenText Information Management platform and services provide secure and scalable solutions for global enterprises, SMBs, governments, and consumers around the world. It also accelerates transformations with intelligent tools and services. The company is based in Ontario, Canada.","tickerSymbol":"TSX:OTEX","sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=31700121&width=980","logo":"https://investingnews.com/media-library/image.gif?id=31700121&width=210"} Company Profile Market cap: C$13.366 billion; share price: C$48.58Ontario-based OpenText is one of Canada’s largest software companies. The tech firm develops and sells enterprise information management software. Its portfolio includes hundreds of products in the areas of enterprise content management, digital process automation and security, plus AI and analytics tools. OpenText serves small businesses, large enterprises and governments alike.OpenText's AI & Analytics platform has an open architecture that enables integration with other AI services, including Google Cloud and Azure. It can leverage all types of data, including structured or unstructured data, big data and the internet of things (IoT) to quickly create interactive visuals.In January, OpenText launched its Cloud Editions 24.1, which includes enhancements to its OpenText Aviator portfolio. "Leveraging AI for impactful results depends on reliable data – without it, even the most skilled data scientists will struggle,” stated OpenText CEO and CTO tMark J. Barrenechea. “By expanding the Aviator portfolio in conjunction with our world class information management platform, Cloud Editions 24.1 empowers customers with the tools and insights needed to get ahead." Buy now , 3. Descartes Systems Group (TSX:DSG) {"@context":"https://schema.org","@type":"Corporation","name":"Descartes Systems Group Inc. (The)","url":"https://www.descartes.com","description":"The Descartes Systems Group provides a software solution that allows users in the shipping industry to communicate with one another. The core product is the Global Logistics Network, which is best understood as transaction driven. Descartes charges clients to send/receive messages, data, and documents on the GLN (the transactions). Customers typically contract for a monthly minimum over a multiyear period. The GLN platform allows for Descartes to upsell additional software modules as well, typically provided via a software-as-a-service model.","tickerSymbol":"TSX:DSG","sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=33033143&width=980","logo":"https://investingnews.com/media-library/image.gif?id=33033143&width=210"} Company Profile Market cap: C$8.9 billion; share price: C$104Descartes Systems Group provides on-demand software-as-a-service (SaaS) solutions. The multinational technology company specializes in logistics software, supply chain management software and cloud-based services for logistics businesses.AI and ML enhancements to Descartes’ routing, mobile and telematics suite are helping the company’s customers optimize fleet performance. “AI and ML are perfect extensions to our advanced route optimization and execution capabilities,” said Ken Wood, executive vice president at Descartes. “From dynamic delivery appointment scheduling through planning and real-time route execution, we’ve used AI and ML to improve our ability to deliver the next level of fleet performance for customers.”Buy now , Australian AI stocks AI investment in Australia is expected to reach AU$5.7 billion in 2026, according to research firm IDC. The biggest spenders when it comes to AI in Australia are the banking industry, the federal government, professional services and retail.Below are three of the top Australian AI stocks. 1. Xero (ASX:XRO) {"@context":"https://schema.org","@type":"Corporation","name":"XERO FPO NZX [XRO]","url":"https://www.xero.com","description":"Xero is a provider of cloud-based accounting software, primarily aimed at the small and medium enterprise, or SME, and accounting practice markets. The company has grown quickly from its base in New Zealand and surpassed local incumbent providers MYOB and Reckon to become the largest SME accounting SaaS provider in the region. Xero is also growing internationally, with a focus on the United Kingdom and the United States. The company has a history of losses and equity capital raisings, as it has prioritised customer growth.","tickerSymbol":null,"sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=33033174&width=980","logo":"https://investingnews.com/media-library/image.gif?id=33033174&width=210"} Company Profile Market cap: AU$18.451 billion; share price: AU$121.96New Zealand-based technology company Xero provides cloud-based accounting software for small and medium-sized businesses. The company’s product portfolio also includes the Xero Accounting app, Xero HQ, Xero Ledger, Xero Workpapers and Xero tax tools. Xero has made a number of AI enhancements to its platform in recent years, including bank reconciliation predictions that save time and reduce errors, and Analytics Plus, a suite of AI-powered planning and forecasting tools. In March, the company launched its Gen AI assistant, named ‘Just Ask Xero’ or JAX. Some of its features include the automation or streamlining of repetitive and time-consuming tasks; the ability to anticipate tasks based on previous user actions and the ability to make cashflow projections on request. Buy now , 2. TechnologyOne (ASX:TNE) {"@context":"https://schema.org","@type":"Corporation","name":"TECH ONE FPO [TNE]","url":"https://www.technologyonecorp.com","description":"Technology One Ltd is one of the largest publicly listed software companies in Australia, with offices across six countries. It develops user-friendly enterprise software products that are deeply integrated into customers' information technology, or IT, infrastructure. The company boasts more than 1,000 clients spread across seven industry segments: namely, government, local government, financial services, education, health and community services, utilities, and managed services.","tickerSymbol":null,"sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=33033181&width=980","logo":"https://investingnews.com/media-library/image.gif?id=33033181&width=210"} Company Profile Market cap: AU$5.213 billion; share price: AU$16.23TechnologyOne is another large enterprise technology software firm in Australia. In fact, it is the country’s largest enterprise resource planning SaaS company. TechnologyOne has a client base of over 1,200, including customers in the government, education, health and financial services sectors across Australia, New Zealand and the UK. The company’s research and development center is targeting cloud-based technology, AI and ML.TechnologyOne recently announced its 2023 financial results, highlighting that it saw record profits for the 14th year. The company’s SaaS annual recurring revenue was up 22 percent and its after-tax profit was up 16 percent. TechnologyOne attributes the strong results to robust demand for the company’s global SaaS enterprise resource planning solution. TechOne attributed its success to the large number of major deals it completed in the government sector over the period. Buy now , 3. Brainchip Holdings (ASX:BRN) {"@context":"https://schema.org","@type":"Corporation","name":"BRAINCHIP FPO [BRN]","url":"https://www.brainchipinc.com","description":"BrainChip Holdings Ltd is engaged in neuromorphic computing. Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of the human neuron. The company has developed a revolutionary spiking neural network (SNN) technology, a type of neuromorphic computing that learns autonomously, evolves, and associates information just like the human brain. It operates through one segment namely, the technological development of designs. The company's products include Akida IP, Meta TF, Akida1000, and others.","tickerSymbol":null,"sameAs":[],"image":"https://investingnews.com/media-library/image.gif?id=33033200&width=980","logo":"https://investingnews.com/media-library/image.gif?id=33033200&width=210"} Company Profile Market cap: AU$647.603 million; share price: AU$0.345Global technology company BrainChip Holdings has developed and commercialized a type of edge AI that simulates the functionality of the human neuron. The company's neuromorphic processor, Akida, enables the deployment of edge computing across several applications, including connected cars, consumer electronics and industrial IoT.BrainChip partnered with AI-based video analytics solutions provider CVEDIA in May 2023 to further develop edge AI and neuromorphic computing. The CVEDIA-RT platform for video analytics will be integrated with BrainChip’s Akida neuromorphic IP. The technology has applications in security and surveillance, transportation, information technology services and retail.The company has also partnered with MYWAI, a leader artificial intelligence-of-things (AIoT) solution provider. They will leverage BrainChip’s Akida™, with MYWAI’s AIoT Platform for equipment-as-a-service. “The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers,” stated the press release. Buy now , FAQs for AI stocks ​Which company is leading the AI race? Google and Microsoft are battling it out for king of the AI hill. While a study from digital marketing firm Critical Mass shows that consumers believe Alphabet’s Google is leading the AI race, analysts are pointing to Microsoft as the clear frontrunner. Microsoft stands to benefit in a big way from its billions of dollars investment in OpenAI's ChatGPT as advancements in generative AI may have the potential to increase the company's revenues for its Azure cloud computing business. ​Which country is doing best in AI? North America is the global hotspot for advancements in AI technology and is home to the majority of the world’s largest AI providers. Of the countries in this region, Canada’s AI industry is showing the fastest growth, according to a report by Markets and Markets. Swiss-based CRM firm InvestGlass positions the US as the primary hub for AI development, and many of the world’s leading tech giants are headquartered there. According to the firm, China comes in a close second. ​What is Elon Musk's AI company? In November 2023, Elon Musk launched Grok, a new AI technology company based in Nevada. While not much is known about the company yet, Musk said he is starting it as a "third option" to ChatGPT and Google Gemini; its product will be named TruthGPT. ​Does Tesla have its own AI? Tesla (NASDAQ:TSLA) has developed proprietary AI chips and neural network architecture. The company’s autonomous vehicle AI system gathers visual data in real time from eight cameras to produce a 3D output that helps to identify the presence and motion of obstacles, lanes and traffic lights. The AI-driven models also help autonomous vehicles make quick decisions. In addition to developing autonomous vehicles, Tesla is working on bi-pedal robotics. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.

Major indexes slid this week as market participants adjusted their interest rate expectations.Meanwhile, the Bitcoin halving is approaching, and some experts are urging buyers to exercise caution. Also this week, the company that made humanoid robots a reality introduced a new and improved version.Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. Bitcoin halving quickly approaching The Bitcoin halving is a pre-programmed event that reduces the number of Bitcoin rewarded for mining blocks by half. As of the time of this writing, it was expected to happen around 9:00 p.m. EDT on Friday (April 19).Bitcoin’s price has climbed significantly since the start of 2024. The positive momentum, which culminated in Bitcoin reaching an all-time high of over US$73,000 on March 13, was largely driven by the approval of spot Bitcoin exchange-traded funds in the US on January 10. The move has boosted interest in the cryptocurrency. In the weeks leading up to the highly anticipated halving event, Bitcoin has experienced heightened volatility as investors speculate on the potential impact of reduced mining rewards. The price initially dropped from US$63,350 to US$60,022 in after-hours trading on Thursday (April 18). However, it recovered later that night, experiencing a 4.55 percent increase to reach US$62,750 just before 1:00 a.m. EDT. This was followed by another price surge to US$64,985 at 3:00 a.m. EDT. As of 3:00 p.m. EDT on Friday, Bitcoin had experienced a 9 percent upswing in the prior 24 hours. Overall sentiment among investors has ranged from optimistic to skeptical. Some analysts believe that the halving could be a “sell the news” event. In a note released on Wednesday (April 17), analysts at JPMorgan (NYSE:JPM) warned investors that the Bitcoin price is likely to weaken after the halving, citing overbought conditions as a primary reason why. Historical data from Bitcoin's three previous halvings shows the price has surged within a year of the event. 2. Tech stock selloff triggers index slide After months of strong growth, US tech stocks are experiencing pullbacks. The S&P 500 (INDEXSP:.INX) fell 3.85 percent over the course of six consecutive trading days, dipping below 5,000 on Friday for the first time since February 22. According to CNBC, it was the index's worst performance since March 2023, and tech stocks were the worst-performing segment on Friday and during the week. Macroeconomic factors such as tensions in the Middle East and Ukraine, and the March consumer price index and jobs reports could have also contributed to the S&P’s slide. The data from these reports, combined with other inflation readings, have prompted industry professionals to second guess their previous assumptions about interest rate cuts in 2024, dropping from three expected reductions this year down to two or even none at all. The Nasdaq 100 (INDEXNASDAQ:NDX) also declined over the course the week, and by the end of trading on Friday, the index had fallen 6.05 percent during the five day period. This was driven by a decrease in NVIDIA's (NASDAQ:NVDA) share price, which fell by 14.52 percent for the week and by 8.35 percent on Friday alone. 3. Meta Platforms releases Llama 3 Meta Platforms (NASDAQ:META), the parent company of Facebook, released Llama 3, a newer, more powerful version of its open-source large language model on Thursday, saying it will “boost your intelligence and lighten your load."Llama 3 features several improvements over the previous model, including reduced false refusal rates, meaning that Llama 3 is less likely to reject legitimate prompts and will give more engaging and varied responses. According to Meta, Llama 3 is also better aligned with user values and goals, and was trained on a “high-quality human evaluation set” containing 1,800 prompts on 12 use cases, such as creative writing, asking for advice and summarization. Models are available from Meta directly, as well as through the platforms Hugging Face and Kaggle. They are also offered by major cloud providers like Amazon's (NASDAQ:AMZN) Amazon Web Services, Alphabet’s (NASDAQ:GOOGL) Google Cloud, Microsoft's (NASDAQ:MSFT) Azure and IBM's (NYSE:IBM) watsonx.The company is also leveraging Llama 3 to power its artificial intelligence (AI) assistant, Meta AI, which it made available on Facebook, Instagram and WhatsApp on Thursday in select countries, including Canada. The company plans to introduce Meta AI in other countries soon, but has not announced specific release dates. 4. Microsoft avoids EU probe on OpenAI investment Antitrust regulators for the EU have determined that Microsoft’s investment in OpenAI does not fit the parameters of an acquisition, meaning the deal will avoid a formal probe for now. The deal in question was announced by Microsoft in early 2023, when the company said it would be extending its partnership with OpenAI, including a multibillion-dollar investment. While neither company publicly revealed the details of the investment, several news outlets reported at the time that sources put the figure somewhere near US$10 billion over the course of several years."The European Commission is checking whether Microsoft's investment in OpenAI might be reviewable under the EU Merger Regulation," an executive for the EU said when the investigation was opened in January of this year.In recent months, mega-cap tech companies such as Apple (NASDAQ:AAPL) and Google have found themselves in the crosshairs of antitrust and anticompetitive lawsuits in Europe and the US. The regulatory landscape for these major tech companies is evolving with the application of the Digital Markets Act in Europe in May 2023, which aims to regulate the behavior of large online platforms acting as gatekeepers in the digital sector. Microsoft has maintained that its partnership with OpenAI, which began in 2019, has fostered innovation and competition, not stifled it, and that the company holds a non-voting position on OpenAI’s board, despite having invested billions of dollars over the years. While the EU has decided not to pursue an investigation into the partnership, sources told Reuters that regulators are looking into whether Microsoft’s influence distorts the market, and said the tech giant could face an antitrust lawsuit from the European Commission in the coming months. 5. Boston Dynamics unveils newest humanoid robot Boston Dynamics unveiled the newest version of its fully electric humanoid robot Atlas, which is “designed for real-world applications,” according to a spokesperson for the company. The company posted footage of Atlas waking up on X, the social media platform formerly known as Twitter, on Wednesday. The newer version of Atlas will be stronger, will have a greater range of motion and will be integrated into Boston Dynamics' newly launched Orbit software, which provides users with an AI-powered, centralized platform to control and manage their robot fleet. The company plans to retire its older hydraulic-powered model, which was introduced in 2013.Hyundai (KRX:005380) acquired an 80 percent controlling interest in Boston Dynamics from SoftBank Group (TSE:9984) in 2021 in a deal that valued the robotics company at US$1.1 billion. As part of the partnership, Hyundai agreed to provide a platform for testing and refining the robot’s capabilities to demonstrate the potential of humanoid robots like Atlas in practical applications — for example, in factories. Don't forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

The advent of our new age of artificial intelligence has captured the world’s attention over the past few months.

As the next generation of business leaders work their way through business school, they’re being taught with an AI future in mind.

We believe that Cybersecurity is a compelling theme in 2024 for multiple reasons.

The future of artificial intelligence (AI) is looking brighter than ever. Last year saw generative AI capture the public’s attention with the wide release of ChatGPT, and experts predict significant growth for the generative AI market in the coming years. According to 451 Research, market revenue is expected to grow at a compound annual growth rate of 57.9 percent to reach a valuation of US$36.36 billion by 2028.What's more, the World Economic Forum's Future of Jobs Report 2023 names roles in AI and machine learning as some of the fastest-growing professions. This rapid growth and increasing demand for AI skills illustrates that AI is poised to play an increasingly important role in shaping the future of many industries. AI to cut costs and boost efficiency in diverse sectors Looking ahead, AI's potential to drive innovation and efficiency in many industries is only set to grow. One plus is the cost savings AI can create — according to a November report from Bank of America Global Research, AI will have a “mild-to-strong” positive financial impact on 75 percent of companies surveyed in the next five years. In terms of project management, AI is assisting in tasks such as analyzing large data sets, offering more accurate predictions, automating services and tasks and providing sophisticated virtual customer support. As businesses continue to adopt AI-powered solutions and technologies, analysts are expecting to see even greater advances in areas like healthcare. AI is assisting in breakthroughs in fields like neuroscience, genomics and biotech, and according to Statista, the market for AI in healthcare is set to reach around US$188 billion by 2030. Quantum computing in particular is playing a key role in advances as it allows for faster and more accurate analysis of large data sets, enabling researchers to map genes and brains and discover new drugs more efficiently.In addition to its impact on healthcare, quantum computing is being used to tackle complex problems in climate modeling, making it easier for scientists to understand and predict the effects of climate change. Tech heavyweights to pursue edge computing According to research from Deloitte's tech, media and telecom division, the importance of edge computing will grow in 2024 as AI technologies become more prevalent and advanced. The shift toward edge computing could also lead to a focus on the semiconductor and hardware industries, beyond only graphics processing unit (GPU) makers.Edge computing, which involves the processing and analyzing of data closer to where it is generated, will play a crucial role in enabling faster decision making and improved AI performance. The Consumer Electronics Show, which will be held in Las Vegas in January, is expected to showcase a range of AI-powered products.“As organizations deploy newly developed AI applications, they will see in many cases the need for inference to happen at or closer to the edge, avoiding network latency,” Phillip Merrick, co-founder and CEO of pgEdge, told Solutions Review.As the need for more sophisticated AI capabilities grows, so will the importance of a robust and secure supply chain for the semiconductors and chips that power these technologies. The chip shortage has been a major challenge for the tech industry in recent years. “Every year, the demand for semiconductors and chips increases; meanwhile, countries are just waking up to the importance of growing manufacturing and safeguarding supply chains,” Naseem Husain, senior vice president and strategist for Horizons ETFs, explained to the Investing News Network (INN) in an interview. Ongoing trade tensions between the US and China are expected to have a continued impact in 2024, as is the Taiwan election, which is set to take place on January 13. Taiwan is a key player in the global semiconductor industry, supplying chips to many of the world’s leading tech companies, including NVIDIA (NASDAQ:NVDA). NVIDIA is the clear leader in the chip market, with a strong presence in AI and other emerging technologies, and the company has also developed edge computing solutions based on its GPU technology. However, the other "Magnificent Seven" tech giants currently dominating the stock market are also investing in chip making, creating specialized chips for their cloud-based products. While these companies may not pose an immediate threat to NVIDIA’s dominance in the GPU market, they could potentially become more competitive in the future.At the same time, established semiconductor companies such as AMD (NASDAQ:AMD), Intel (NASDAQ:INTC) and Qualcomm (NASDAQ:QCOM) are making strides in the AI and edge computing spaces. Their products, which include GPUs and edge devices that are applicable across a range of industries and use cases, could eventually challenge NVIDIA’s market dominance. And, according to iShares' 2024 Thematic Outlook, there may still be attractive opportunities for investors to find undervalued AI stocks in the small- and mid-cap space.Finally, the emergence of neuromorphic chips, which are designed to mimic the functioning of the human brain, could create new opportunities and challenges for semiconductor companies in the future. In October, IBM (NYSE:IBM) unveiled a prototype of NorthPole, its neuromorphic chip — developers have said the project “delivers massive improvements in energy, space and time efficiencies.” Is the AI market overvalued? While AI has been touted as a game changer in many industries, some analysts believe the hype surrounding AI may have reached its peak, and think the space may face growth challenges in the future. A recent poll by 451 Research shows that public concerns regarding the impact of AI on the job market and society increased between Q4 2022 and Q2 2023, and CCS Insight predicts that AI may face a “cold shower” in 2024 as the industry grapples with the realities of bringing AI to the market responsibly and sustainably. Josh Koenig, CSO at Pantheon, told Solutions Review, “(I) predict we’ll see some high-profile failures that puncture the narrative, and a lot of companies will cut or scale back investments as real-world applications are harder to find than initially thought. Google (NASDAQ:GOOGL), Microsoft (NASDAQ:MSFT), and OpenAI will keep trucking, as will the open-source alternatives, but it’ll be a while before we hit the ‘Slope of Enlightenment.’”While the largest tech companies can afford to weather these challenges, smaller startups may struggle to stay afloat. Investor takeaway The future of AI looks promising, with significant growth expected in the generative AI market. The adoption of AI by enterprises is set to increase, leading to more advances in areas like healthcare and climate modeling. “In an emerging industry, competition is a critical part of the story,” Husain told INN. “In 2023, we saw many new entrants arrive into the AI arena — many of which are the product of established technology companies. While it’s a race to see who can develop the best AI technology, it will also be a matter of which product has the greatest consumer potential. I would look to see not just who is fielding the most impressive technology, but who is offering a vision for how their AI models can transform the lives of individuals for the better.” While there may be some concerns surrounding AI, the opportunities it represents can’t be denied. As AI evolves and improves, its impact could lay the foundation for even more exciting innovations. Don’t forget to follow us @INN_Technology for real-time news updates!Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.Editorial Disclosure: ARway.ai, Adisyn and Nextech3D.ai are clients of the Investing News Network. This article is not paid-for content. The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.

I believe we must shift our attention to a larger opportunity before us: AI becoming the major interface for all applications.

Jamie Dimon might be cautious about the economy, but he’s bullish on artificial intelligence.

While the existence of disinformation is not new, the digital age and its ability to spread any narrative so rapidly (and from any voice, whether authentic or synthetic) is amplifying the reach and virility of false information