Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...

Media coverage disparities show networks devoted airtime to Trump issues while ignoring investigations into who made decisions during Biden’s presidency Read More ...

Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks (NNs) ...

During an interview on CNN on Wednesday, PBS CEO Paula Kerger argued that she doesn’t see evidence behind the accusations that her outlet is partial to liberal viewpoints.

HR teams are responsible for ensuring AI tools used in the hiring process have a clear, unbiased view of what qualified candidates look like.

Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks to compute ...

Violent incidents targeting ICE and Border Patrol received limited network coverage, with CBS and PBS offering brief reports on immigration enforcement ...

Solubility prediction is crucial for drug development and materials science, yet existing models struggle with generalizability across diverse solvents and temperatures. This study develops a novel ...

The differences in bias values might be explained as follows: AI overestimated the quality of learners' diary entries in the categories in-depth elaboration and transfer-supporting elaboration.