Topics

Exascale supercomputers to transform deep neural networks and online data analysis

Researchers develop a machine-learning approach to bend sub-terahertz transmissions, dodging blocks in dynamic spaces for faster wireless data in virtual reality and autonomous vehicles.

Scientists use sound waves to create a new photonic activation function, advancing energy-efficient AI with optical neural networks.

Researchers discover the maximum precision possible in optical imaging and use AI to nearly reach this limit for better medical imaging.

Study reveals large language models fall short in capturing sensory and motor experiences of human concepts compared to human understanding.

Scientists build stable, low-power memristors to help artificial neural networks learn new things without forgetting old ones.

Could enable new advanced brain-machine interfaces

Fly Brain Map Reveals Secrets of Neural Networks and Diseases. A Groundbreaking Study in Neuroscience.

Researchers use a new technique to reveal how protein prediction tools make decisions, improving choices for drug and vaccine development while uncovering hidden biological details.

Cornell scientists create a low-power microchip that processes ultrafast data and wireless signals using microwave physics, offering efficient computing for various tasks.