A new approach to neuromorphic computing proposes using acoustic waves — rather than electrical ...

Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

Jon Peddie Research (JPR) has released its Q2 2026 AI Processor report, which covers the vendors and new phase of the AI processor industry.

Right now, AI is quickly transforming everything from content creation and cybersecurity to drug discovery and supply chains. But beneath all the buzz around ChatGPT, autonomous agents, and ...

LAGUNA HILLS, Calif.--(BUSINESS WIRE)-- BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading developer of ultra-low-power, fully digital, event-based neuromorphic AI, today ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Computing ecosystems are changing dramatically. AI, quantum computing, exascale supercomputers, biological DNA, chemical and ...

Neuromorphic computing seeks to emulate the parallel, energy-efficient information processing of the human brain by using specialised hardware whose physics mimic neuronal and synaptic functions.

Katie Schuman, assistant professor and algorithm expert in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, along with fellow professor Jim ...

Charge density waves in metals accumulate defects and melt much like physical solids, a behavior that could be harnessed for neuromorphic devices and superconductors. (Nanowerk News) In a process ...