This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

A new AI model mimics human thinking with striking accuracy, even in unfamiliar scenarios. Researchers at Helmholtz Munich ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and ...

An important and basic characterization of a graph is the sequence or list of degrees of that graph. Problems regarding the construction of graphs with specified degrees occur in chemistry and in the ...

Stay updated on the latest artificial intelligence news and developments with Fox Business. Get real-time insights and expert analysis on AI innovations, applications, and their impact on ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

AI technology has been often employed to establish knowledge graph embedding (KGE) model, which can be used for link prediction on medical knowledge graph to help medical decision-making and disease ...