A Russian mathematician has developed a new method for analyzing a class of equations that underpin models in physics and economics and have challenged researchers for nearly two centuries.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Although women have always been part of the mapping landscape, their contributions to cartography have long been overlooked.

AI model testing is being gamed and AI leaderboard rankings can be tricked. An Oxford review found issues in nearly half of ...

Engineers at the University of Pennsylvania have discovered that foams — from soap suds to food emulsions — are not static, as long assumed, but instead continuously reorganize themselves in ways that ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Designed to improve robots’ reasoning, the Rho-alpha vision-language-action model marks Microsoft’s offering in the growing field of physical AI.

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

Vertical, convective, thermal energy transport is examined outside the box of microscale turbulent dispersion or unstable air ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Nagpur: Students and researchers from Nagpur University (NU) have earned international recognition for a cutting-edge research project that enhances t.