In 2026, digital wellness has shifted from supplements and wearables to sound-based programs promising mental clarity ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

A new hybrid AI approach may drastically cut energy use while improving reliability. Artificial intelligence is not just changing software. It is also driving a sharp rise in electricity use. In the ...

AI-powered digital brain representing modern technology and innovation.

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Brain-inspired AI-hardware mimics neural efficiency to cut energy use, enabling autonomous devices to navigate, adapt and make real-time decisions independently.

Trident IoT, a leading provider of multi-protocol IoT development solutions and Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions from sensors to software, today ...

A research team led by Professor Han Zhang at Shenzhen University has pioneered a novel optical neural network that learns like a living organism—without relying on traditional computing algorithms.

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...

The various types of BoCI are illustrated. The various types of BoCIs are introduced, including planar and stereoelectrode-based methods. The former primarily relies on low-density or high-density ...