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Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior ...
Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...
Against this backdrop, Zhejiang Cloud Needle Information Technology Co., Ltd. has officially released the "Cloud Needle AI ...
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting ...
With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...
Artificial intelligence (AI) technologies are progressing rapidly, presenting opportunities and intricate ethical and legal issues. This evaluation delineates modern methodologies and classifications ...
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