Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.
Research into alternative computer architectures is getting a new boost thanks to work by Sandia National Laboratories.
Morning Overview on MSN
Forget transistors: an intelligent material computes like a brain
Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...
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 ...
Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they're scalable while providing repeatable results has proven tricky.
Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...
When it comes to developing faster and smaller chips to power next-generation electronic devices, Silicon is seen as the leading option. This abundant, cheap semiconductor provides acceptable carrier ...
Department of Energy (DOE) and Missile Defense Agency (MDA)-Funded AI-driven Cyberthreat management Platform Offers Zeek and ...
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