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IT之家 科技新闻· · Original publication time AI score33

CATL founder says AI screens compounds and identifies seven promising materialsMachine translation

曾毓群称宁德时代用 AI 筛选化合物,锁定 7 种潜力材料

AI-assisted summary

At the 2026 World Laureates Forum, CATL founder Zeng Yuqun described the company's use of AI to accelerate energy research. He said AI can screen thousands of compounds in a short time and identify seven promising materials using more than 600 TB of basic research data and over one trillion test records. He also said current AI capabilities remain far from sufficient.

Article · AI translation

Thanks to IT Home reader Assassin for the tip!

IT Home reported on November 2 that, according to a report today by Science and Technology Daily, CATL founder Zeng Yuqun delivered a speech entirely in English at the 2026 World Laureates Forum, sharing CATL’s latest efforts to use AI to accelerate innovation in energy research.

With more than 600 TB of basic research data and over 1 trillion test records, AI can screen thousands of compounds in a short time and identify 7 promising materials. Zeng Yuqun said that current AI capabilities are still far from sufficient, and that more scientists and more advanced models are needed to accelerate the discovery of further research and innovation results.

IT Home found through publicly available information that the opening ceremony of the 2026 World Laureates Forum and the World Laureates Association Prize award ceremony were held on the morning of October 31 at the Lingang Center in Shanghai.

The theme of this year’s forum was “Paradigm Shift · The Next Decade of Scientific Breakthroughs.” It comprised an opening ceremony and main forum, 6 parallel forums, 4 themed events, 1 closing ceremony and related events, as well as science and technology visits and special activities. Nearly 300 scientists and representatives of leading science and technology innovation companies attended, including recipients of the Nobel Prize, Turing Award, Wolf Prize and Fields Medal. Participants held in-depth discussions and built consensus on issues including research paradigms for the future of science, value chains, international cooperation, talent development and technology governance.

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