A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
A first-in-human study of ATX-295, an oral inhibitor of KIF18A, in patients with advanced or metastatic solid tumors, including ovarian cancer. Background: Casein kinase 1 alpha (CK1α) is a ...
Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...
The RIKEN Center for Advanced Intelligence Project has been launched since April 2016 with the subsidy for “Advanced Integrated Intelligence Platform Project-Artificial Intelligence/ Big Data/ ...
The FDA's draft guidance promotes Bayesian methods to improve clinical trial efficiency, reduce costs, and enhance data utilization while maintaining rigorous safety and efficacy standards. Bayesian ...
Ax is an accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments. Adaptive experimentation is the machine-learning guided process of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results