By Ben Aris in Berlin Russia has presented a domestically developed neuromorphic processor called “Altai”, a brain-inspired ...

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 ...

The neuromorphic chip market offers key opportunities in energy-efficient AI processing, real-time edge intelligence, and enhanced perception for autonomous systems. Rising AI energy demands, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While much of the tech world remains ...

Rochester Institute of Technology recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the university-corporate partnership, RIT’s ...

Many cuts pre-date the appointment last year of Lip-Bu Tan as CEO. Now, Tan is placing a long-term bet beyond the current ...

The standard computer hardware we’ve relied on for decades is running into a wall. As AI models grow massively larger, ...

As artificial intelligence platforms like OpenAI's ChatGPT and Microsoft's Copilot go mainstream, power bills from their usage are exploding. In response, researchers are racing to build hardware that ...

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...

This review first revisits the theoretical background and developmental history of neuromorphic computing. It then briefly introduces the working mechanisms of memristive devices and how they can ...

The two-chip system includes a 16-channel photonic neuromorphic chip with 272 trainable parameters, giving it the ability to process multiple streams of optical signals at once and adjust many ...