Computer scientists have developed an ensemble machine learning framework combining Boruta feature selection and XGBoost that ...

An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 injection losses from 45 percent to 12 percent and speeding up fragment ...

Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...

A data-backed breakdown of the skills, credentials, and capabilities that hiring managers are screening for in senior roles right now.

B. Wang, D. Lee, G. Lee. Learning the robust optimum: a single-loop Bayesian framework for optimization under uncertainty. Submitted to Aerospace Science and Technology, 2026. Extended version of ICAS ...

Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every agent.

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

Intrinsic programs shape brain maturation; however, which of these programs are perturbed by prematurity as well as the molecular pathways involved remain unknown. The human cerebellum serves as a ...

想象你拿到一个3D扫描出来的零件模型，老板说：把它变成可以在CAD软件里打开、能随意修改尺寸的工程图纸。 这件事现在大部分靠人工。一个熟练的CAD工程师可能要花几个小时,对着扫描点云一点点猜测这个零件当初是怎么画出来的：先挖了一个圆孔，还是先切了一刀再倒角？这个过程业内叫"逆向工程"，枯燥又耗时。 AI能不能替你干这活？过去两年确实有不少团队在尝试，但结果普遍不太理想。问题不是AI不会画图，而是A ...