Engineering students at one of the largest private universities in #Ohio have taken their senior design project beyond the ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Re-weighting, adversarial debiasing, and fairness constraints can be incorporated into AI models to identify and eliminate ...

One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given ...

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

Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

The company’s policies, referred to as information ‘tenting’, have limited the number of personnel who can access the new ...

Researchers develop an AI model that uses ECG data to predict the risk for adverse vascular events in patients with migraine.

Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.

Discover how algorithms perpetuate bias in hiring while promising fairness, creating discrimination that's harder to detect and challenge.

Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

Search Intelligence OS empowers advertisers to shape automation outcomes, enforce brand standards, and scale results ...