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

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 scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...

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, ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...