A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

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—— ...