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June 12 (Reuters) - The Biden administration on Monday added 43 entities to an export control list, including Frontier Services Group Ltd, a security and aviation company previously run by Erik Prince, for training Chinese military pilots and other activities that threaten U.S. national security. The Test Flying Academy of South Africa, a flight school under scrutiny by authorities in Britain for recruiting British ex-military pilots to train Chinese military fliers, was also added to the U.S. Commerce Department's Entity List. The aviation-related companies were listed for providing training to Chinese military pilots using Western and NATO sources, according to a rule posted for the Federal Register. Thirty-one Chinese entities in total were added to the list, some for acquiring U.S.-origin items in support of China's military modernization, such as hypersonic weapons development. Nine Chinese and Pakistani companies were added based on their contributions to Pakistan’s ballistic missile program and other weapons contributions.
Persons: Biden, Erik Prince, Prince, Karen Freifeld, Chris Sanders, Alistair Bell Organizations: Frontier Services Group Ltd, Flying Academy of South, U.S . Commerce, Frontier Services Group, United, United Arab Emirates, Federal Register, U.S, Shanghai Supercomputing Technology, Solutions, Thomson Locations: U.S, Flying Academy of South Africa, Britain, China, Kenya, Laos, United Arab Emirates, South Africa, United Kingdom, Xinjiang, China's, Latvia
As a result, about 78% of S & P 500 companies reported better-than-expected earnings results, according to FactSet. Though sales came up short of expectations, earnings, operating margin, and return on capital all notched new record highs in a tough economy. We also saw strong sales of key drug Mounjaro along with positive updates for its potential as a weight loss medication. GE Healthcare (GEHC) reported solid results with its first-quarter earnings release as sales and earnings outpaced expectations. Despite the top-line miss, TJX Companies (TJX) delivered better-than-expected earnings as management demonstrated the ability to diligently control expenses.
Persons: Emerson, Eli Lilly, Strong, Humana, Johnson, Morgan Stanley, Wells Fargo, Wells, Estee Lauder, Locker, Jim Cramer's, Jim Cramer, Jim, Hsun Huang, Patrick T Organizations: Club, Halliburton, HAL, Linde, LIN, Microsoft, Nvidia, Palo Alto Networks, billings, Procter & Gamble, Devices, Caterpillar, Costco, Coterra Energy, Management, GE Healthcare, Honeywell, Johnson, Wynn Resorts, WYNN, Valley Bank . Disney, Natural Resources, Constellation Brands, TJX Companies, Bausch Health, Nike, Jim Cramer's Charitable, CNBC, Nvidia Corp, Mobile, Fallon, Bloomberg, Getty Locations: Washington, North America, United States, Wells, Macau, Asia, Los Angeles , California
Demand for AI chips in data centers spurred Nvidia to guide for $11 billion in sales during the current quarter, blowing away analyst estimates of $7.15 billion. "The flashpoint was generative AI," Huang said in an interview with CNBC. Nvidia currently dominates the market for AI GPUs. "The data center of the past, which was largely CPUs for file retrieval, is going to be, in the future, generative data," Huang said. That's one reason why Nvidia's data center business grew 14% during the first calendar quarter versus flat growth for AMD's data center unit and a decline of 39% in Intel's AI and data center business unit.
Nvidia is the world's top maker of graphics processing units (GPUs), which are in high demand because they can be used to speed up artificial intelligence work. But Nvidia's GPU chips are typically paired with what is called a central processing unit (CPU), a market that has been dominated by Intel and AMD for decades. The University of Bristol system will be used for climate science and drug discovery research, among other things. That's actually six times more performance and energy efficiency than the university's previous system, Isambard 2," Ian Buck, general manager and vice president of accelerated computing at Nvidia, said during a press briefing. Reporting by Stephen Nellis in San Francisco; Editing by Bill BerkrotOur Standards: The Thomson Reuters Trust Principles.
May 22 (Reuters) - Intel Corp (INTC.O) on Monday provided a handful of new details on a chip for artificial intelligence (AI) computing it plans to introduce in 2025 as it shifts strategy to compete against Nvidia Corp (NVDA.O) and Advanced Micro Devices Inc (AMD.O). At a supercomputing conference in Germany on Monday, Intel said its forthcoming "Falcon Shores" chip will have 288 gigabytes of memory and support 8-bit floating point computation. Intel, by contrast, has essentially no market share after its would-be Nvidia competitor, a chip called Ponte Vecchio, suffered years of delays. Intel on Monday said it has nearly completed shipments for Argonne National Lab's Aurora supercomputer based on Ponte Vecchio, which Intel claims has better performance than Nvidia's latest AI chip, the H100. But Intel's Falcon Shores follow-on chip won't be to market until 2025, when Nvidia will likely have another chip of its own out.
A startup using AI to predict climate risks has just raised 13 million euros (around $14 million). A startup using AI to predict climate risk to protect people and assets has just raised 13 million euros (around $14 million) in a round backed by Microsoft. A bevy of voluntary initiatives exist encouraging businesses to report climate risk, while some businesses in Europe must report physical risks associated with climate change. Existing solutions use historical data to predict risk, Mitiga cofounder and CEO Dr. Alejandro Martí told Insider. Mitiga also presents customers with an overall climate risk score and a breakdown of how risks relate to one another.
Meta Platforms scoops up A.I. networking chip team from Graphcore
  + stars: | 2023-05-05 | by ( ) www.cnbc.com   time to read: +2 min
Meta Platforms Inc. has hired an Oslo-based team that until late last year was building artificial-intelligence networking technology at British chip unicorn Graphcore. "We recently welcomed a number of highly-specialized engineers in Oslo to our infrastructure team at Meta. They bring deep expertise in the design and development of supercomputing systems to support AI and machine learning at scale in Meta's data centers," said Jon Carvill, the Meta spokesperson. Meta, which owns Facebook and Instagram, has become increasingly reliant on AI technology to target advertising, select posts for its apps' feeds and purge banned content from its platforms. The 10 employees' job descriptions on LinkedIn indicated the team had worked on AI-specific networking technology at Graphcore, which develops computer chips and systems optimized for AI work.
May 5 (Reuters) - Meta Platforms Inc (META.O) has hired an Oslo-based team that until late last year was building artificial-intelligence networking technology at British chip unicorn Graphcore. "We recently welcomed a number of highly-specialized engineers in Oslo to our infrastructure team at Meta. Meta, which owns Facebook and Instagram, has become increasingly reliant on AI technology to target advertising, select posts for its apps' feeds and purge banned content from its platforms. The 10 employees' job descriptions on LinkedIn indicated the team had worked on AI-specific networking technology at Graphcore, which develops computer chips and systems optimized for AI work. A new category of network chip has emerged to help keep data moving smoothly within those computing clusters.
The Mosaic browserThe most popular early browser was released eight days before CERN unleashed the web's source code. The move enabled people for the first time to see text and photos side-by-side, and encouraged growth of the fledgling web. One of Mosaic’s developers was Marc Andreessen, who went on to co-found Netscape and Silicon Valley venture capital firm Andreessen Horowitz. National Center for Supercomputing Applications/University of Illinois Board of Trustees
In a new note to clients, the firm looked at how the AI boom will impact the market's top tech titans. Detailed below are three ways Wedbush sees AI opportunities helping Tesla's stock in the future. Ives also has thoughts on how Musk's forays into AI can boost shares of his crown jewel: Tesla. He sees three ways its implementation can help drive stock gains in the future. "That could lead to further improvements of Tesla's supply chain by opening up limitless labor supply for production lines while improving its cost structure during a labor constrained environment," he wrote.
Nvidia's most-advanced graphics cards are selling for more than $40,000 on eBay , as demand soars for chips needed to train and deploy artificial intelligence software. The prices for Nvidia's H100 processors were noted by 3D gaming pioneer and former Meta consulting technology chief John Carmack on Twitter. The H100, announced last year, is Nvidia's latest flagship AI chip, succeeding the A100, a roughly $10,000 chip that's been called the "workhorse" for AI applications. Microsoft spent hundreds of millions of dollars on tens of thousands of Nvidia A100 chips to help build ChatGPT. Nvidia controls the vast majority of the market for AI chips.
Here are five stocks chosen by Wall Street's top analysts, according to TipRanks, a platform that ranks analysts based on their past performance. Rakesh holds the 94th position among more than 8,000 analysts followed on TipRanks. The analyst ranks 439th among more than 8,000 analysts followed on TipRanks. The analyst remains bullish on the stock and raised his price target to $134 from $128, as he continues to see a "meaningful upside." Santarelli holds the 27th position among more than 8,000 analysts on TipRanks.
How far out does a Club stock price target project: three months out, six months out, or one year out? Our price targets are based (usually but not always) on earnings estimates for the next full fiscal year. They also update their price targets based on these updated estimates. As a result, sometimes price targets are moving targets versus planting a flag in the ground about one certain price. (For a look at how to arrive at our price targets in the first place, we've written about that in a previous commentary .)
Nvidia has breezed through the banking turmoil, and is the S&P 500's best performer with a 81% rise year-to-date. The chipmaker has added $87 billion in market value since Silicon Valley Bank was taken over by regulators. "We are at the iPhone moment of AI," CEO Jensen Huang said this week amid the ChatGPT buzz. At about $654 billion, Nvidia is valued almost six times as much as its longtime rival Intel. NVIDIA stock has significantly outperformed the US stock market.
Of 15 bank notes surveyed this week, 13 firms have a buy rating or equivalent on Nvidia, citing its AI capabilities. But, longer term, Nvidia's AI applications portend significant upside for the stock in the years to come. Raymond James Reiterated a strong buy rating – one level above buy — and price target of $290 per share. UBS The bank said its buy rating and $270-per-share price target are "under review pending further analysis." That's why the commentary in an analyst note or in a Club story is more relevant than any rating or price target.
Taiwan Semiconductor Manufacturing has further upside on the generative AI boom, according to Bank of America. "Taiwan Semiconductor Manufacturing Co. (TSMC) is a key beneficiary and among our 20 global AI stock picks owing to the rising and widening applications of large language models (LLMs) and generative AI, led by ChatGPT," Lin wrote. "We think the generative AI should act as one of the greatest drivers, thanks to the substantial computational requirements for running and training the AI models." The analyst said that Taiwan Semiconductor will ride the "structural uptrend" in generative AI opportunities, which will drive demand for several semiconductors. Taiwan Semiconductor shares are up 21.9% this year after falling 82% last year.
US prepares new rules on investment in technology abroad- WSJ
  + stars: | 2023-03-04 | by ( ) www.reuters.com   time to read: +1 min
The Biden administration's work on the new rules would in practice largely deal with U.S. investments in China though the report given to lawmakers did not identify any countries, the WSJ said. The new rules are expected to cover private-equity and venture-capital investments in advanced semiconductors, supercomputing and some forms of artificial intelligence, the WSJ reported quoting people familiar with the matter as saying. The Treasury and Commerce departments expected to finalize their policy in the near future, it added. Reuters reported last month that Biden administration was planning an outright ban on investments in some Chinese technology companies and increased scrutiny of others. Reporting by Jose Joseph and Anirudh Saligrama in Bengaluru; Editing by Himani Sarkar and Simon Cameron-MooreOur Standards: The Thomson Reuters Trust Principles.
Microsoft CEO Satya Nadella speaks at the company's Ignite Spotlight event in Seoul on Nov. 15, 2022. Microsoft on Monday announced a new multiyear, multibillion-dollar investment with ChatGPT-maker OpenAI. Microsoft declined to provide a specific dollar amount, but Semafor reported earlier this month that Microsoft was in talks to invest as much as $10 billion. Microsoft said the renewed partnership will accelerate breakthroughs in AI and help both companies commercialize advanced technologies in the future. In July 2019, Microsoft backed OpenAI with $1 billion, and the investment made Microsoft the "exclusive" provider of cloud computing services to OpenAI.
Microsoft aims for AI-powered version of Bing - The Information
  + stars: | 2023-01-04 | by ( ) www.reuters.com   time to read: +1 min
Jan 3 (Reuters) - Microsoft Corp (MSFT.O) is in the works to launch a version of its search engine Bing, using the artificial intelligence behind OpenAI-launched chatbot ChatGPT, The Information reported on Tuesday, citing two people with direct knowledge of the plans. Microsoft said in a blog post last year that it planned to integrate image-generation software from OpenAI, known as DALL-E 2, into Bing. OpenAI declined to comment, while Microsoft did not immediately respond to Reuters' request for comment. The San Francisco-based artificial intelligence company OpenAI was backed by Microsoft with $1 billion in funding in 2019. The two had formed a multi-year partnership to develop artificial intelligence supercomputing technologies on Microsoft's Azure cloud computing service.
Pro Take: Election Will Influence Tech Policy on the Margins
  + stars: | 2022-11-10 | by ( Steven | ) www.wsj.com   time to read: +4 min
Nonetheless, when all results are in, election results may shape technology policy and regulation in some important respects. There are some matters of tech policy that won’t be addressed in any single election, because they are long-term issues, according to Michael Burns, partner with private-equity and venture-capital investor Murray Hill Group. The Biden administration is taking aggressive action that includes cutting off supplies of advanced semiconductors and machines used to make them, according to Mr. Burns. “The next challenge is aligning on industrial policy with outcomes measured in 5 to 10 or even 15-year horizons. This is hard in a system where the next election cycle is considered long term.”Write to Steven Rosenbush at steven.rosenbush@wsj.com
[1/2] A computer rendering shows IBM's 433-qubits Osprey quantum processor, with more than three times the qubits of the IBM Eagle processor unveiled in 2021, in this undated handout image. The number of qubits, or quantum bits, are an indication of the power of the quantum computer which uses quantum mechanics, although different quantum computer companies make different claims about the power of their qubits which can be created many different ways. IBM is calling the modular system Quantum System Two. "Quantum System Two is the first truly modular quantum computing system so that you can continue to scale to larger and larger systems over time," Gil told Reuters ahead of the IBM Quantum Summit this week. IBM has over 20 quantum computers around the world, and customers can access them through the cloud.
LAGUNA BEACH, Calif.—Intel Corp. Chief Executive Pat Gelsinger said that recently imposed U.S. restrictions on semiconductor-industry exports to China were inevitable as America seeks to maintain technological leadership in competition with China. Speaking at The Wall Street Journal’s annual Tech Live conference, Mr. Gelsinger said the restrictions, which require chip companies to obtain a license to export certain advanced artificial-intelligence and supercomputing chips as well as equipment used in advanced manufacturing, are part of a necessary shift of chip supply chains.
Major Chinese technology firms have been put on export blacklists since then. Looking ahead, the latest package of U.S. controls will make a huge dent in China's technology ambitions. Paul Triolo technology policy lead, Albright StonebridgeThings did not look as "bleak" for China's semiconductors in 2017 as they do now, Triolo said. China's tech crackdownA major hallmark of Xi's last five years is how he has transformed China into one of the strictest regulatory regimes globally for technology. China's technology giants are also posting their slowest growth in history, partly due to tighter regulations.
"We expect probably in 2023 the semiconductor industry will likely decline, but TSMC also is not immune," Wei told a media call. TOOL DELAYSTSMC, Asia's most valuable listed firm, cut its capital expenditure (capex) for 2022 to around $36 billion. "We say 2023 is still a growth year for TSMC, and the overall industry probably will decline," said Wei. Revenue for the quarter climbed 36% to $20.23 billion, versus TSMC's prior estimated range of $19.8 billion to $20.6 billion. Shares in TSMC have fallen almost 36% so far this year, giving it a market value of $323.7 billion.
America argues that such advanced semiconductors can be used by China for advanced military capabilities. U.S. companies will be heavily restricted in exporting machinery to Chinese companies that are manufacturing chips of a certain sophistication. "The latest chip rules are a sign that Washington is not trying to rebuild relations with Beijing. For example, it's unlikely that advanced chips manufactured by TSMC won't have used American tools somewhere along the way. Under those rules, Huawei was cut off from the most advanced chips that TSMC was manufacturing and that were designed for its smartphones.
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