Nasdaq Artificial Intelligence

Advances in AI are reducing complexity in executing decisions across the enterprise and revealing new value from decision automation.

The Canadian government has announced plans to inject C$2.4 billion into artificial intelligence (AI) innovation.Prime Minister Justin Trudeau unveiled the package as part of the country’s 2024 budget, saying the focus is on accelerating job growth in Canada's AI sector by boosting productivity and ensuring responsible AI use and adoption."AI has the potential to transform the economy. And our potential lies in capitalizing on the undeniable Canadian advantage," he said. "These investments in Budget 2024 will help harness the full potential of AI so Canadians, and especially young Canadians, can get good-paying jobs while raising our productivity, and growing our economy.”“This announcement is a major investment in our future, in the future of workers, in making sure that every industry, and every generation, has the tools to succeed and prosper in the economy of tomorrow," added Trudeau. Canada's AI investment will aim to support the development and accessibility of cutting-edge computing capabilities and technological infrastructure for AI researchers, startups and scale-ups. Additionally, a new AI Compute Access Fund and a Canadian AI Sovereign Compute Strategy will be established to further catalyze AI infrastructure development within the country.Under the initiative, C$200 million will be directed toward supporting AI startups and accelerating AI adoption in critical sectors such as agriculture, cleantech, healthcare and manufacturing through Canada's Regional Development Agencies.The National Research Council's Industrial Research Assistance Program will receive C$100 million to assist small- and medium-sized enterprises in scaling up and enhancing productivity by integrating AI solutions into their operations.Another C$50 million will be allocated to the Sectoral Workforce Solutions Program to provide skills training for workers in sectors potentially impacted by AI advancements, ensuring a smooth transition and enhanced employability.The establishment of a Canadian AI Safety Institute, supported by C$50 million in funding, will focus on the safe development and deployment of AI technologies, addressing potential risks and fostering international collaboration.To strengthen enforcement of AI-related regulations, the Office of the AI and Data Commissioner will receive C$5.1 million to ensure responsible AI adoption by Canadian businesses."This financial commitment is a strong signal of Canada's vision to propel AI. We are convinced that this investment will catalyze productivity, innovation and sustainable economic growth in our country," commented SCALE AI CEO Julien Billot, praising the steps the government is taking to increase Canada’s competitive edge in the field. Canada playing catch up in AI industry Despite being one of the first countries to attract AI students and researchers through its C$125 million Pan-Canadian Artificial Intelligence Strategy investment in 2017, Canada has slipped down the rankings in AI capacity. While the country enjoys a surplus of leading experts and developers in the field, it is fifth globally in terms of AI capacity and ranks 23rd in terms of AI infrastructure, according to the Tortoise Global AI Index, released last year.In addition, Canada currently lacks a dedicated regulatory framework for AI despite its attempts to establish rapid advancements in AI technology early on. The government introduced the Artificial Intelligence and Data Act (AIDA) as part of Bill C-27 in November 2021, aiming to establish guidelines for the responsible design, development and deployment of AI systems in Canada. However, the AIDA won't be implemented in full force until 2026. Gladstone AI CEO Jeremie Harris warned CBC News last month that at this point, the legislation will be too outdated to accommodate for the advances that have been made in the field."By the time AIDA comes into force, frontier AI systems will have been scaled hundreds to thousands of times beyond what we see today. AIDA needs to be designed with that level of risk in mind,” he emphasized. With this latest funding injection, the Canadian government is optimistic that it can make up for lost time and solidify its position as a hub for AI excellence in the coming years. Canada's 2024 budget will be presented in the House of Commons by Deputy Prime Minister and Minister of Finance Chrystia Freeland on April 16. Don't forget to follow us @INN_Technology for real-time updates!Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.

The symbiotic relationship between User-Generated Content (UGC) and Artificial Intelligence (AI) has powered an accelerating cycle of innovation. It was only a matter of time before M&A activity in the space ramped up.

Artificial Intelligence (AI) has taken the world by storm, revolutionizing industries, and transforming the way we live and work.

The media is positive about AI, but it’s also wary too as the charts below demonstrate. Once it became tangible in November of 2022 through the release of Chat GPT, red flags went up.

Artificial intelligence (AI) continues to evolve and advance rapidly, becoming increasingly integrated in the automation of everyday life and a focal point of growth in the technology sector.AI is also becoming a major focus for the Australian government, whose budget for the 2023/2024 fiscal year outlines a plan to invest AU$101.2 million in AI development and adoption over the coming years. That includes AU$17 million announced in December 2023 to fund up to five AI Adopt Centres for small- and medium-sized businesses.According to a September 2023 report from IDC on worldwide AI spending, Australia, along with Korea and India, is leading the Asia-Pacific region in spending on AI solutions; the three countries are also leading when it comes to AI adoption in the area. Spending in the region, excluding Japan and China, is expected to reach US$28.2 billion by 2027. Although the AI market is relatively small in Australia, it’s growing. To help investors understand the options available, the Investing News Network used TradingView's stock screener to find the top AI stocks on ASX by market cap. All ASX AI stocks data was current as of March 26, 2024; companies whose business is focused mainly on AI were considered. 1. NextDC (ASX:NXT) {"@context":"http://schema.org","@type":"Corporation","name":"NEXTDC FPO [NXT]","url":"https://investingnews.com/stocks/asx-nxt/nextdc-fpo-nxt/","description":"NextDC operates 11 data centres across five major Australian cities with a focus on colocation of and interconnection between enterprises, global cloud, and ICT providers and telecommunication...","tickerSymbol":"ASX:NXT","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=51432387&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=51432387&width=210"} Company Profile Market cap: AU$9.25 billion; current share price: AU$17.81NextDC is Australia’s leading data centre operator, with 13 functioning centres throughout Australia, New Zealand, Malaysia and Japan, and nine more currently in the works. NextDC has expressed its commitment to improving Australia’s digital infrastructure with multiple business and academic partnerships.This past August, NextDC announced it would be partnering with Microsoft (NASDAQ:MSFT), as well as well-known Australian mining and telecommunications groups, to bring a state-of-the-art data centre to Pilbara, Western Australia. Then, in November 2023, the company officially broke ground on an AU$80 million data centre in Darwin as part of an action plan to improve the digital infrastructure in the Northern Territory.NextDC also revealed last September that it would be partnering with La Trobe Business School’s Research Centre for Data Analytics and Cognition on research into future theoretical and practical applications of AI across a range of industries. Buy now , 2. BrainChip (ASX:BRN) {"@context":"http://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$588.8 million; current share price: AU$0.33BrainChip is the company behind akida, a revolutionary digital neuromorphic chip that’s built with a spiking neural network, a type of artificial network that mimics the way messages are passed between neurons in the human brain. Because the AI is inside the chip, the chip is able to learn on its own and is not reliant on the cloud or other networks. This makes it much more secure and reduces latency as well. Buy now , 3. Appen (ASX:APX) {"@context":"http://schema.org","@type":"Corporation","name":"APPEN FPO [APX]","url":"https://investingnews.com/stocks/asx-apx/appen-fpo-apx/","description":"Appen Ltd is engaged in the provision of quality data solutions and services for machine learning and artificial intelligence applications for technology companies, auto manufacturers and government...","tickerSymbol":"ASX:APX","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=51431943&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=51431943&width=210"} Company Profile Market cap: AU$138.57 million; current share price: AU$0.60Appen began in 1996 as an automated speech recognition startup by a couple based in Sydney, New South Wales. Today, the company operates as a trusted partner to firms transitioning to AI usage, with a suite of industry-specific large language models and AI-training products. Buy now , 4. Bigtincan Holdings (ASX:BTH) {"@context":"http://schema.org","@type":"Corporation","name":"BIGTINCAN FPO [BTH]","url":"https://www.bigtincan.com","description":"Bigtincan Holdings Ltd is a provider of enterprise mobility software, which enables sales and service organisations to increase sales and improve customer satisfaction through improved mobile worker...","tickerSymbol":"ASX:BTH","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=51431935&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=51431935&width=210"} Company Profile Market cap: AU$92.44 million; current share price: AU$0.15Bigtincan Holdings is a sales platform that uses AI to help companies improve their customers’ buying experience by making the process more efficient and personalised. Bigtincan’s list of partners includes Apple (NASDAQ:AAPL), Adobe (NASDAQ:ADBE), SalesForce (NYSE:CRM) and Microsoft (NASDAQ:MSFT). Buy now , 5. Ai-Media Technologies (ASX:AIM) {"@context":"http://schema.org","@type":"Corporation","name":"Ai-Media Technologies","url":"https://investingnews.com/stocks/asx-aim/ai-media-technologies/","description":"Ai-Media Technologies Ltd is a provider of live and recorded captioning, transcription, subtitles, translation, and speech analytics using a proprietary, cloud-based technology platform.","tickerSymbol":"ASX:AIM","sameAs":[],"image":"https://investingnews.com/media-library/image.jpg?id=51431947&width=980","logo":"https://investingnews.com/media-library/image.jpg?id=51431947&width=210"} Company Profile Market cap: AU$77.26 million; current share price: AU$0.37Ai-Media Technologies is one of the world’s leading caption and translation providers. It was founded in 2003 by Tony Abrahams and Alex Jones, who was born deaf. Ai-Media uses AI to transcribe speech, making media accessible to all. Buy now , FAQs for investing in AI What is artificial intelligence? AI is defined as human intelligence exhibited by machines. The development of graphics processing units with faster and more powerful chips has supported the emergence of AI technologies. Where is AI used? AI has been heralded as a technology of the fourth industrial revolution, with heavy investment from industries including transportation, manufacturing, education and agriculture. Some of the sectors that will likely see the fastest AI investment growth in the coming years are healthcare, pharmaceutical research, retail, industrial automation, finance and intelligent process automation. How to invest in AI stocks? Investors looking to capitalise on AI's growth potential have a number of entry points when it comes to stocks. It's key for each person to practise due diligence and speak to their broker to determine the most suitable investments. The companies listed above have a strong focus on AI, but investing in companies that are using AI as part of a larger business model is one way to gain indirect exposure to the sector. Examples of stocks like this on the ASX include Block (ASX:SQ2), WiseTech Global (ASX:WTC), Seek (ASX:SEK) and Xero (ASX:XRO).For a more diversified approach, the Betashares Global Robotics and Artificial Intelligence ETF (ASX:RBTZ) invests in companies involved in the development of AI applications all across the globe. Investing in an exchange-traded fund is a low-cost way to benefit from a sector without directly buying individual stocks. This is an updated version of an article first published by the Investing News Network in 2020. Don’t forget to follow us @INN_Australia for real-time updates! Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Of all the jobs we expected might be taken over by artificial intelligence, the venerable flight attendant was not anywhere towards the top of the list.

Given the immense opportunity that still exists and now the addition of yet another AI category, the revenue potential for Nvidia continues to be breathtaking

After a two week hot streak, cryptocurrency prices experienced a modest pullback as Bitcoin exchange-traded funds (ETFs) experienced outflows and spot Ethereum ETF expectations were dampened. Meanwhile, NVIDIA's (NASDAQ:NVDA) hotly anticipated GPU Technology Conference delivered a host of new, innovative technology, including a project for building humanoid robots, and Apple (NASDAQ:AAPL) shares pulled back after the US Department of Justice filed a lawsuit accusing the tech giant of anticompetitive behavior.Stay informed on the latest developments in the tech world with the Investing News Network's round-up. 1. Nasdaq closes at new record The Nasdaq Composite (INDEXNASDAQ:.IXIC) closed at a new record high on Friday (March 22) after the US Federal Reserve held interest rates steady on Wednesday (March 20) and maintained its forecast for three cuts this year.Shares of Microsoft (NASDAQ:MSFT) peaked at US$429.83 on Thursday (March 21), a 3.75 percent difference from the firm's opening price of US$414.31 on Monday (March 18). Meta (NASDAQ:META) reached its highest valuation so far this month that same day, touching US$515 at market open before falling slightly, ending the week at US$509.58. Amazon (NASDAQ:AMZN) traded around US$175 during the first half of the week before rising on the Fed news to over US$180 on Thursday. It remained elevated at the close of trading on Friday at US$178.87. Alphabet (NASDAQ:GOOGL) experienced some volatility leading up to the Fed's meeting, but didn’t see the same sharp share price uptick as many of the other mega-cap tech stocks. And, after three weeks in a downtrend, Tesla's (NASDAQ:TSLA) share price finished the week 0.53 percent higher to close at US$170.83.Apple was the only one of the major tech stocks to see an overall decline this past week. NVIDIA was unsurprisingly the biggest winner of the mega-cap tech stocks this week, closing 4.31 percent higher despite a sharp drop both before and after a conference it held on Monday. 2. Bitcoin and Ethereum record mild week After last week’s surge, Bitcoin experienced a moderate drop over the weekend, starting the week at US$68,437 on Monday, 7.5 percent lower compared to its record high of US$73,580 on March 14. The cryptocurrency's price continued to fall through the week, dropping as low as US$61,494 just before midnight on Tuesday (March 19). By the end of Wednesday, it had mostly recovered, reaching US$67,883. Bitcoin was trading at US$63,117 as of 4:00 p.m. PST on Friday.Ethereum followed a similar pattern, hitting a high of US$3,566 on Thursday after starting the week at US$3,626 — that's 12.24 percent lower than its March 11 price level of US$4,070.60. Ethereum’s lowest valuation for the week was US$3,107 on Tuesday. It was trading at US$3,297 as of 4:00 p.m. PST on Friday. According to trader and economist Alex Kruger, reasons for the “crash,” from most to least important, include too much leverage, waning optimism that the US Securities and Exchange Commission will approve spot Ethereum ETFs, outflows from Bitcoin ETFs and inflated valuations. 3. NVIDIA delivers at GPU Technology Conference NVIDIA CEO Jensen Huang kicked off his company’s GPU Technology Conference on Monday with a keynote, unveiling a new lineup of artificial intelligence (AI) chips and software for running AI models, the Blackwell architecture. Alluded to for the first time in October 2023 as part of the company’s developmental roadmap, Blackwell was rumored to be NVIDIA's most capable graphics processing unit (GPU) yet. During the presentation, Huang outlined Blackwell’s capabilities and how the company is poised to lead the “new industrial revolution” with its hardware and software. The Blackwell GPU, manufactured by Taiwan Semiconductor Manufacturing Company (NYSE:TSM), is the world’s first multi-die chip specifically designed for AI applications, with two large dies connected by cables to form one large GPU. In a computer chip, a die refers to the semiconductor material, usually silicon, that houses the transistors, resistors, capacitors and other elements that carry out the tasks the chip was designed for. The Blackwell platform consists of NVIDIA's B200 Tensor Core GPUs and the GB200 Grace Blackwell Superchip, a powerful processor that connects the two CPUs to the NVIDIA Grace CPU over an ultra-low-power NVLink chip-to-chip (C2C) interconnect. NVIDIA developed C2C to allow high-speed communication between different chips within a single processor. With the increased processing power, AI companies will be able to train bigger and more complex models.NVIDIA also introduced NVIDIA AI Enterprise 5.0, which offers dozens of generative AI microservices that will help businesses create and establish their own applications on their own platforms, giving them full ownership rights over their intellectual property. Developers can run their models on their own servers or on cloud-based NVIDIA servers, and are charged based on usage. The microservices offered by 5.0 include the new NVIDIA Inference Microservices, which will make it easier to deploy AI and run programs, including on older versions of NVIDIA GPUs.The keynote concluded with a presentation of Project GR00T, or Generalist Robot 00 Technology, a foundation model that will provide natural language understanding and imitative learning for humanoid robots. The initiative is powered by a new NVIDIA computer for humanoid robots called Jetson Thor, which is available for developers through the company's upgraded Isaac Robotics Platform. 4. NVIDIA to build humanoid robots “The ChatGPT moment for robotics may be right around the corner,” NVIDIA's Huang said as he revealed a new innovative project at the conference. Project GR00T is a general-purpose foundation model for humanoid robots built on a new computer called Jetson Thor. Jetson Thor is based on the newly designed NVIDIA Thor system-on-a-chip, which itself is built on the Blackwell architecture and an upgraded Isaac Robotics Platform. As Huang pointed out at the event, “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today.” One obstacle he identified was the difference between large language model reinforcement learning on a computer and reinforcement learning with physical feedback. “We need a simulation engine that represents the world digitally for the robot so that the robot has a gym to go learn how to be a robot,” he said. “We call that virtual world Omniverse.”NVIDIA's Omniverse bridges the gap between the digital and physical worlds. By creating digital twins in Omniverse, developers can simulate real-world scenarios to test robot behaviors and optimize designs before physical implementation. Other tools to facilitate robot learning are the Isaac Lab, a robotic simulation platform for reinforcement learning that is powered by Omniverse; and OSMO, a compute orchestration service that helps developers scale their workloads across a distributed environment for scheduling multi-stage workflows. 5. Apple fined by DoJ and 16 states The US Department of Justice (DoJ), joined by 16 other state and district attorneys general, filed a major antitrust lawsuit against Apple in New Jersey on Thursday, alleging that the tech giant has engaged in anticompetitive practices to maintain its dominant position in the smartphone market. The lawsuit claims that Apple has stifled competition, suppressed innovation and inflated prices by restricting the ability of smaller companies to offer competing applications and services on its iOS platform, thereby making it more difficult for users to switch to other devices. The government argues that Apple’s actions violate antitrust laws and harm both consumers and smaller competitors. The lawsuit seeks remedies that could include breaking up Apple; however, outcomes will depend on the court’s decision. This legal action marks a significant escalation in the ongoing regulatory scrutiny of Big Tech, and follows similar litigation brought against both Amazon and Alphabet’s Google last year. Overseas, Apple was issued a 2 billion euro fine by the European Commission on March 4 after the court ruled that Apple had broken the bloc’s antitrust laws by favoring its music streaming service, iTunes, over those belonging to competitors. US President Joe Biden has made this issue a priority as well, launching a task force on March 5 jointly led by the DoJ and the Federal Trade Commission to strictly enforce antitrust laws and crack down on unfair corporate pricing. 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.

After a two-week hot streak, the price of cryptocurrencies experienced a modest pullback as outflows of Bitcoin continue and spot Ethereum ETFs seem less likely. Meanwhile, Nvidia's hotly-anticipated GPU Technology Conference delivered a host of new, innovative technology, including a project for building humanoid robots, and Apple shares pulled back after the Department of Justice filed a lawsuit, accusing the tech giant of anticompetitive behavior.Stay informed on the latest developments in the tech world with the Investing News Network's weekly round-up. 1. Market performance The tech-heavy Nasdaq closed at a new record high on Friday (March 22) after the Federal Reserve held rates and maintained its forecast for three rate cuts following the most recent policy meeting on Wednesday. Shares of Microsoft (NASDAQ:MSFT) peaked at US$429.83 on Thursday, a 3.75 percent difference from its opening price of US$414.31 on Monday. Meta (NASDAQ:META) reached its highest valuation so far this month that same day, touching US$515 at market open before falling slightly, ending the week at US$509.58. Amazon’s shares traded around US$175 during the first half of the week before rising on the Fed news to over US$180 on Thursday. It remained elevated at the close of trading Friday at a price of US$178.87. Alphabet experienced some volatility leading up to the Federal Reserve’s policy meeting but didn’t see the same sharp uptick as many of the other mega-cap tech stocks. And, after three weeks in a downtrend, Tesla (NASDAQ:TSLA) stock finished the week 0.53 percent higher to close at US$170.83.Apple’s share price was the only one of the major tech stocks to have fallen overall this past week, dropping by 2.74 percent since Thursday morning following the antitrust lawsuit filed by the DoJ. Nvidia is unsurprisingly the biggest winner of the mega-cap tech stocks this week, closing 4.31 percent higher despite a sharp drop both in the lead up to and following the GTC Conference on Monday. 2. Crypto's mild week After last week’s surge, Bitcoin experienced a moderate drop-off over the weekend, starting the week 7.5 percent lower at US$68,437 on Monday (March 18) compared to its record high of US$73,580 on March 14. Its valuation continued to fall, dropping as low as US$61,494 just before midnight on Tuesday (March 19). By the end of Wednesday (March 20), it had mostly recovered, reaching US$67,883. Bitcoin was trading at US$63,117 as of 4:00 p.m. PST on Friday (March 22).Ethereum followed a similar pattern, hitting a high of US$3,566 on Thursday (March 21) after starting the week at US$3,626, 12.24 percent lower than its US$4,070.60 on March 11. Ethereum’s lowest valuation was US$3,107 on Tuesday. It’s currently trading at US$3,297 as of 4:00 p.m. PST. According to trader and economist Alex Kruger, reasons for the “crash,” from most to least important, include too much leverage, waning optimism that the US Securities and Exchange Committee will approve spot Ethereum ETFs, Bitcoin ETF outflows and inflated valuations. 3. Nvidia GTC Conference delivers Nvidia (NASDAQ:NVDA) CEO Jensen Huang kicked off his company’s GPU Technology Conference (GTC) on Monday with a keynote presentation during which he unveiled his company’s lineup of new artificial intelligence (AI) chips and software for running AI models, the Blackwell architecture. Alluded to for the first time in October 2023 as part of the company’s developmental roadmap, Blackwell was rumored to be Nvidia’s most capable graphics processing unit (GPU) yet. During the two-hour presentation, Huang outlined Blackwell’s capabilities and how the company is poised to lead the “new industrial revolution” with its hardware and software. The Blackwell GPU, manufactured by the Taiwan Semiconductor Manufacturing Company (NYSE:TSM), is the world’s first multi-die chip specifically designed for AI applications, with two large dies connected by cables to form one large GPU. In a computer chip, a die refers to the semiconductor material, usually silicon, that houses the transistors, resistors, capacitors and other elements that carry out the tasks the chip was designed for. The Blackwell platform consists of Nvidia’s B200 Tensor Core GPUs and the GB200 Grace Blackwell Superchip, a powerful processor that connects the two CPUs to the Nvidia Grace CPU over an ultra-low-power NVLink chip-to-chip (C2C) interconnect. Nvidia developed C2C to allow high-speed communication between different chips within a single processor. With the increased processing power, AI companies will be able to train bigger and more complex models.Nvidia also introduced Nvidia AI Enterprise 5.0, which offers dozens of generative AI microservices that will help businesses create and establish their own applications on their own platforms, giving them full ownership rights over their intellectual property. Developers can run their models on their own servers or on cloud-based Nvidia servers and are charged based on usage. The microservices offered by 5.0 include the new Nvidia Inference Microservices, which will make it easier to deploy AI and run programs, including on older versions of Nvidia GPUs. Finally, the keynote concluded with a presentation of Project GR00T, or Generalist Robot 00 Technology, a foundation model that will provide natural language understanding and imitative learning for humanoid robots. The initiative is powered by a new Nvidia computer for humanoid robots called Jetson Thor, which is available for developers through the company's upgraded Isaac Robotics Platform. 4. Nvidia to build humanoid robots “The Chat GPT moment for robotics may be right around the corner,” Nvidia CEO Jensen Huang said as he revealed a new innovative project at GTC. Project GR00T is a general-purpose foundation model of humanoid robots, what Huang called “embodied AI,” built on a new computer called Jetson Thor. Jetson Thor is based on the newly designed Nvidia Thor system-on-a-chip, which itself is built on the Blackwell architecture and an upgraded Isaac robotics platform. As Huang pointed out, “Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today.” One obstacle he identified was the difference between large language model reinforcement learning on a computer and reinforcement learning with physical feedback. “We need a simulation engine that represents the world digitally for the robot so that the robot has a gym to go learn how to be a robot,” he said. “We call that virtual world Omniverse.”Nvidia Omniverse bridges the gap between the digital and physical worlds. By creating digital twins in Omniverse, developers can simulate real-world scenarios to test robot behaviors and optimize designs before physical implementation. Other tools to facilitate robot learning are the Isaac Lab, a robotic simulation platform for reinforcement learning powered by Omniverse; and OSMO, a compute orchestration service that helps developers scale their workloads across a distributed environment for scheduling multi-stage workflows. 5. Apple fined by DoJ and 16 states The US Department of Justice (DoJ), joined by 16 other state and district attorneys general, filed a major antitrust lawsuit against Apple (NASDAQ:AAPL) in New Jersey on Thursday alleging that the tech giant has engaged in anticompetitive practices to maintain its dominant position in the smartphone market. The lawsuit claims that Apple has stifled competition, suppressed innovation and inflated prices by restricting the ability of smaller companies to offer competing applications and services from its iOS platform, thereby making it more difficult for users to switch to other devices. The government argues that Apple’s actions violate antitrust laws and harm both consumers and smaller competitors. The lawsuit seeks remedies that could potentially include breaking up Apple, although the specific outcomes will depend on the court’s decision. This legal action marks a significant escalation in the ongoing regulatory scrutiny of Big Tech, and follows similar litigation against both Amazon (NASDAQ:AMZN) and Alphabet’s (NASDAQ:GOOGL) Google last year. Overseas, Apple was issued a 2 billion euro fine by the European Commission on March 4 after the court ruled that Apple had broken the bloc’s antitrust laws by favoring its music streaming service, iTunes, over competitors. US President Joe Biden has made this issue a priority as well, launching a task force on March 5 jointly led by the DoJ and the Federal Trade Commission to strictly enforce antitrust laws and crack down on unfair corporate pricing. 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.

We speak with Anjee Solanki, National Director of U.S. Retail Services and Practice Groups, about the trends shaping retail and spending today.

The true value of an innovation, like artificial intelligence (AI), is found in its relevant applications. solution.

It’s not just AI stocks that are soaring these days. Cryptocurrencies that have ties to artificial intelligence blockchains and other endeavors are seeing substantial gains as well.

This year, SXSW featured a number of interesting XR and AI-driven installations.

A study from the London School of Economics, MIT, and the University of Pennsylvania suggests that forecasting the future is a task that could well be outsourced to generative AI.

As investors chew through those announcements and contemplate potential implications, the light calendar for today and tomorrow morning means the bulk of investors will be treading water until the Fed makes its latest policy announcement

How is the increased adoption of next-gen technologies driving investment, and what steps are leaders across industries practically taking in applying these technologies to address pressing business problems?

Without question, the market has developed an insatiable appetite for artificial intelligence (AI) technology and for the companies steering this new frontier.

This week, investors will be better off making decisions based on what is happening in terms of central bank actions rather than what might happen based on the news coming out of the Nvidia conference.

Apple is in talks to build Google's Gemini artificial intelligence engine into the iPhone and Nvidia is in advanced negotiations to acquire AI infrastructure orchestration and management platform Run:ai