Turbulence is one of the most expensive problems in computing. Simulating the chaotic swirl of air over a wing or the churn ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

UK supermarkets are preparing for a shift toward AI-driven dynamic pricing as electronic shelf labels (ESLs) are rolled out ...

More than 420 million people now hold cryptocurrency worldwide — yet the overwhelming majority still trade manually, ...

Three seasoned attorneys from the national intellectual property firm Banner Witcoff have launched KellDann Law PLLC, a ...

Professor Edith Elkind serves as one of three editors-in-chief for the Journal of Artificial Intelligence Research.

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar ...

In a paper just out in Nature Synthesis, researchers led by Prof. Timothy Noël of the University of Amsterdam's Van 't Hoff ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

When Carolyn Heward was asked to peer-review a manuscript submitted to a psychology journal, she had no idea she'd be reading ...

There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...