Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have identified a combination of statins and phenothiazines that is particularly ...

今年的STS竞赛，共有超过 2600名学生提交申请，他们来自46个州、华盛顿特区、北马里亚纳群岛、波多黎各以及全球16个国家的826所高中。经过激烈角逐，最终有300位年轻人脱颖而出，入选本届学者名单—— ...

For much of its history, corporate automation adoption has been a slow, incremental process. That steady march is now poised to become a transformative leap. We are at the inflection point when the ...