Topics

Ambitious plans target gigawatt-scale computing in space to bypass ground-based energy and cooling constraints.

Physics-informed artificial intelligence prevents molecular breakdown and supports longer, more reliable simulations for chemistry research.

New device combines memory and processing using precise hydrogen ion movement to mimic brain synapses in a compact stacked design for efficient computing.

UC San Diego researchers create a computing device that mimics brain networks to combine memory and processing for faster and more energy-efficient performance.

This breakthrough uses computer modeling to show how basic life processes work inside a simple cell, helping researchers understand biology at a tiny scale.

Computer models now match experiments on particle flow in tokamaks, aiding better designs for future power plants.

Researchers at Politecnico di Milano create a device that processes large data quickly while using less power, by doing calculations right inside the memory.

Researchers embed AI models in radio waves to make edge computing more efficient and save energy on tiny gadgets.

Engineers develop advanced computational methods for precise fluid simulations, solving real-world challenges in medicine, aerospace, and more.

Brain-inspired technology combined with machine learning can create more efficient computing systems for modern factories, helping to process data quickly while using less energy in AI applications.