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Lightning News丨Shanghai deploys AI drug design, Huang Renxun said that H100 will be exclusively manufactured by TSMC
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Shanghai Science and Technology Commission: Systematic layout around basic research and applied basic research such as AI drug design
The Shanghai Municipal Science and Technology Commission issued the "Shanghai Computational Biology Innovation and Development Action Plan (2023-2025)", which mentioned that a systematic layout will be carried out around basic research and application basic research such as algorithm development, model construction, and AI drug design. . Develop original algorithms, models and computing platforms for AI drug research and development, develop large-scale models and generation algorithms for small molecule drugs, establish large-scale models and design platforms for AI-enhanced antibody drugs and peptide drugs, and develop pharmacological and pharmacological efficacy prediction models for traditional Chinese medicine compounds. Develop modern compound formulas with synergistic medicinal effects. By 2025, establish a computational biology research paradigm based on the entire chain of modeling, prediction, and application, initially build infrastructure such as a biological big data platform, train and introduce a group of computational biology talents, and develop multi-modal data theoretical algorithms, protein It has taken the lead in achieving major theoretical breakthroughs in fields such as engineering and AI drug research and development, developed a number of algorithm models and software with independent intellectual property rights and international influence, accelerated the creation of a number of disruptive new technologies for life and health, and produced a number of effective New tools, new standards and new products for large-scale application will lay the foundation for forming a dominant discipline in the field of computational biology and turning Shanghai into a source of innovative ideas, scientific research paradigms and major applications in the field of computational biology.
Microsoft signs a multi-billion dollar artificial intelligence computing power agreement with former Ethereum mining company CoreWeave
News on June 2, CNBC reported citing people familiar with the matter that Microsoft has signed an artificial intelligence computing power agreement with the former Ethereum mining company CoreWeave, which may be worth (at least) billions of dollars. Microsoft and CoreWeave declined to comment. New York-based CoreWeave specializes in graphics processing unit (GPU)-based cloud computing services and has become the core of artificial intelligence (AI) services such as OpenAI's ChatGPT.
Previously reported that CoreWeave announced on April 22 that it had completed a US$221 million Series B financing at a valuation of US$2 billion. Magnetar Capital led the investment, with participation from Nvidia, former GitHub CEO Nat Friedman and former Apple executive Daniel Gross. .
Dialogue with Zhou Hongyi: In the future, large models will present the “three modernizations”. AIoT empowered by large models is the “real AI”
360 Group founder Zhou Hongyi said in an interview with Sina Technology that AIoT empowered by large models is "real AI", and the combination of multi-modal large models and the Internet of Things is the next trend. Large models are an industry In revolutionary changes, anyone who does not master the core technology of large models and does not have practical scenarios will be eliminated by the industry. In the future, 360 large models must be at least among the top three in the country. He also emphasized many times that large models in the future will become smaller, vertical and lightweight. China may have tens of thousands of large models in the future, and there may be more than one large model within an enterprise in the future.
Huang Renxun said that H100 will be exclusively manufactured by TSMC and will not consider a second foundry
NVIDIA CEO Jen-Hsun Huang said that H100 is produced exclusively by TSMC and will not consider adding a second wafer foundry. The main reason is that in the entire design foundry process, “it is very difficult to do it once. It’s more difficult for 2 OEMs to do it twice.” Nvidia and TSMC have begun 3/2nm cooperation planning, and Huang Renxun also confirmed for the first time that the next-generation AI chip will place an order with TSMC. At least in the AI GPU series, TSMC will continue to "take large orders" in a few years. In addition to NVIDIA's A100/A800 and H100, which have all placed orders with TSMC, the RTX 40 series has also fully returned to TSMC's 4nm process, while the RTX 30 series uses Samsung's 8nm process. The current cooperation between NVIDIA and Samsung is mainly focused on memory. (Taiwan Electronic Times)
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