Nvidia To Acquire Arm for $40B: On Sunday, U.S. GPU designer Nvidia announced plans to acquire U.K. chip company Arm from current owner SoftBank for $40 billion. Arm develops and licenses designs that are used to produce chips, including those inside most smartphones — an area where Nvidia is not currently a major player. Nvidia CEO Jensen Huang said that together, the two companies will create the “leading computing company for the age of AI.” Nvidia will maintain Arm’s open-licensing model, letting Arm continue to serve customers around the world, though some authorities worry the deal would effectively place Arm under U.S. control amid U.S.-China tensions. Assuming regulatory approval, the purchase should take 18 months to complete; if finalized, it would be the largest-ever semiconductor deal.
Chinese Tech Executives Launch Domestic Tech Fund: A group of Chinese tech executives plans to launch a “domestic replacement” fund to support Chinese tech companies focusing on AI, 5G and semiconductors, Reuters reports. The fund aims to assist companies affected by U.S. sanctions and create China’s next tech giant. Venture capital firm China Europe Capital expects to raise 5 billion yuan ($730 million) with the help of former executives from Huawei and chipmaker SMIC. China Europe Capital Chairman Zhang Jun said the group sees the U.S.-China tech war as “a matter of life and death,” and that it hopes to provide blacklisted companies with extra support to “survive, and run, although with a limp.”
Machine Learning Spotlight — Standards For Clinical Trials Involving AI: A consortium of experts has proposed the first international standards for clinical trials involving AI. The guidelines were published simultaneously in leading medical journals BMJ, Nature Medicine and Lancet Digital Health after being developed with input from more than 150 authorities. The authors developed a list of 14 AI-specific additions to the standard journal protocols for reporting on clinical trials, including describing the type of algorithm, the training data and the data analysis process. AI is a “strong driver” of new medical interventions, the authors say, and they hope the standards will help editors and readers accurately appraise the quality of new interventions.
Esper Announces AI Partnership for Defense:The Joint AI Center will launch the AI Partnership for Defense this week in collaboration with allies, Secretary of Defense Mark Esper said at the Defense Department’s AI Symposium and Exposition. Formed with at least 10 other nations’ militaries and defense departments, the partnership will focus on data sharing, ensuring interoperability of AI systems and incorporating ethics into the AI pipeline. Esper described the partnership as part of a democratic alternative to China and Russia’s authoritarian approach to AI. In the same talk, Esper highlighted two AI training programs for DOD staff and announced that a real-world dogfight between AI and human pilots will occur in 2024.
House Approves Bill Authorizing AI Center of Excellence: On a Monday voice vote, the House passed legislation codifying an AI Center of Excellence within the General Services Administration. The AI in Government Act of 2020, introduced by Rep. McNerney and then-Rep. Meadows, tasks the Center of Excellence with improving “cohesion and competency” of government AI use, convening stakeholders to discuss trends in AI and publishing relevant information online. The Center is also intended to provide agencies with advice on acquisition and use of AI and advise the Director of the Office of Management and Budget on developing policies related to the use of AI. The Senate companion bill was approved by committee but has not yet received a floor vote.
In Translation CSET’s translations of significant foreign language documents on AI
Technical Domains for Made in China 2025:Roadmap of Major Technical Domains for Made in China 2025. A partial translation of a 2015 roadmap for the Made in China 2025 strategy, this section focuses on China’s IT industry, including specific targets for the country to meet by 2025 in the semiconductor, telecom, software and intelligent manufacturing equipment industries. The goals are intended to improve China’s self-sufficiency in these strategic technologies.
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