Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

NUS researchers have shown that a single transistor can replicate both neural and synaptic behaviors, marking a significant ...

A cutting-edge AI acceleration platform powered by light rather than electricity could revolutionize how AI is trained and ...

NeuPro-M™ redefines high-performance AI (Artificial Intelligence) processing for smart edge devices and edge compute with heterogeneous coprocessing, targeting generative and classic AI inferencing ...

Photo: TheStage AI Elastic models In the rapidly evolving artificial intelligence landscape, one of the most persistent ...

If you’re after laptop buying advice, I’m your man. From PC reviews to Starlink testing, I've got more than a decade of experience reviewing PCs and technology products. I got my start with ...

The current demo uses a Nvidia Jetson Nano as its processing center. This $100 US board packs a bit of a punch in its weight class. It processes the video from a camera held above the bowl of ...