US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

(Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to the human brain’s energy efficiency and adaptability. Biological neurons handle complex ...

The top left shows a photo of the system test board, with a red box indicating Darwin3. The top right displays the top-level view of the chip layout, while below are the layout details of the main ...

Traditional computing systems struggle with dynamic adaptation and suffer from the separation of sensing, processing, and memory functions, leading to high energy consumption and latency. Neuromorphic ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo extremely expensive training? Subscribe to our newsletter for the latest ...

Hala Point, the industry’s first 1.15 billion neuron neuromorphic system, builds a path toward more efficient and scalable AI. The world’s largest and Intel’s most advanced neuromorphic system to date ...

(Nanowerk Spotlight) Humans effortlessly make sense of the visual world despite the fragmented mess of light that strikes the retina. Identifying objects, interpreting scenes, and recognizing faces ...

Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain. Technology is edging closer and closer to the super-speed world of ...

Analysts project the global neuromorphic computing market to skyrocket – from roughly $7.5 billion in 2024 to nearly $59 billion by 2033. This explosive forecast set the stage for an unexpected ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Intel announced on Wednesday the creation of Hala Point, its latest ...