Syensqo首席技术创新官Mike Finelli近日接受MIT Technology Review采访，阐述人工智能对高级材料行业的深远影响。1Finelli表示，"AI现在从材料角度真正将半导体和数据中心推向物理极限"。1随着AI应用扩展，半导体和数据中心需要突破物理边界以支持更强计算能力，而高性能材料成为解决这一瓶颈的关键。1
Syensqo已与微软合作开发新型工具，通过AI代理数字合成数百万潜在分子组合，大幅加速材料发现过程。1该方法将候选分子范围从数百万缩小至约100个，随后进行实验室测试验证。1与此同时，Syensqo将汽车和半导体领域的既有技术跨界应用于数据中心基础设施建设，适应数据中心正在采用的高压架构以实现更高计算能力和能效改进。1这形成了一个正反馈循环：更先进的AI开发出更优异的材料，而更优异的材料又进一步增强了AI的性能。1
Syensqo在创新产能上成效显著，全球年收益的20%来自过去5年推出的新产品和应用。1该公司可持续产品组合已占比88%，体现了在追求技术突破的同时对环保责任的重视。1
Advanced materials are becoming critical to sustaining artificial intelligence infrastructure as semiconductors and data centers approach physical limits.1 According to Mike Finelli, Chief Technology Innovation Officer at Syensqo, "AI is now truly pushing semiconductors and data centers toward physical boundaries from a materials perspective."1 To meet these demands, data centers are shifting toward high-voltage architectures that promise greater computational power and improved energy efficiency.1
Syensqo is accelerating the discovery of next-generation materials by partnering with Microsoft to deploy AI agents that can digitally synthesize millions of potential molecular combinations, ultimately narrowing candidates down to roughly 100 for laboratory testing.1 This approach represents a virtuous cycle: enhanced AI development produces superior materials, which in turn enable more powerful AI systems.1 The company's commitment to innovation is evident in its business performance, with 20 percent of annual global revenue derived from products and applications launched in the past five years.1 Additionally, 88 percent of Syensqo's product portfolio consists of sustainable offerings.1 Beyond semiconductors, the company is applying automotive and semiconductor expertise to advance data center infrastructure construction.1
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