David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

在方法学创新方面，孙博士率先将两亲性共聚高分子引入冷冻电镜的膜蛋白研究中，并依托该前沿技术成功解析了替代性复合物三的亚基空间排布与电子传递网络。此外，他利用重组抗体技术成功从脑组织中纯化出关键的神经受体（γ-氨基丁酸受体），并通过冷冻电镜系统阐明了其复杂的组装模式与药理学机制。相关核心成果已在 Nature、PNAS、J. Am. Chem. Soc.、Biochemistry ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...