Sustainability advocate and AI engineer Sathya Kannan has recently unveiled a framework that claims to be capable of reducing global carbon dioxide (CO₂) emissions leveraging AI neural networks. In ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Whether it's powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you're still nodding along when ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

In 2025, artificial intelligence moved from pilot projects to practical use across the U.S. military. From Army intel and ...

STANFORD, Calif. — Artificial intelligence can find you a recipe or generate a picture, but it can't hang a picture on a wall or cook you dinner. Chelsea Finn wants that to change. Finn, an engineer ...

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...