One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

(a) This diagram depicts fully connected neurons or spins, where each element interacts with every other. (b) Although each spin can only take one of two values, the activation function used to update ...