Although bioreactor scale-up often involves matching key engineering parameters, a biology-first approach should dictate the ...

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 ...

A Russian mathematician has developed a new method for analyzing a class of equations that underpin models in physics and economics and are considered "eternal" as they have challenged researchers for ...

Discover Qwen3-Max Thinking, Alibaba's advanced AI model with extended reasoning capabilities. Learn about its features, ...

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

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

Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

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

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

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