We consider the problem where M agents collaboratively interact with an instance of a stochastic K-armed contextual bandit, where K$\gg$M. The goal of the agent ...

There is an exigency of adopting machine learning techniques to screen and discover new materials which could address many societal and technological challenges. In this work, we follow this trend and ...

The prospective ShockMatrix temporal validation study suggests a comparable human and machine learning performance to predict the need for HCR using real-life and real-time information with a moderate ...

Explore the potential benefits and challenges of microdosing psychedelics for mental health conditions. Understand the legal complexities, research gaps, and possible effects on mood, creativity ...