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

Modern AI LLMs can seem almost magical when you use them. But, just like even the best magic tricks, there is an explanation ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

See five surprising ways neural networks are being used today.

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

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

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 ...

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