此次获奖也是对窦德景在人工智能和大数据领域长期研究的再次肯定。多年来，窦德景凭借其深厚的学术造诣，先后在美国俄勒冈大学、百度研究院、波士顿咨询任教和任职，2023年入选国家级领军人才计划， 2024年加入北京北电数智担任首席科学家，2024年6月被引进复旦大学计算机科学技术学院（现为计算与智能创新学院）任特聘教授 (Distinguished Professor)和博士生导师。

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Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...