Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...
The proprietary technology launches as a standalone product for brands and agencies seeking to optimize media spend during ...
The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
François Chollet, the 34-year-old Google software engineer and creator of deep-learning application programming interface (API) Keras, is challenging the AI status quo. While tech giants bet on ...
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, ...
Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and actual electricity supply volumes in PV-battery systems operating in ...
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