The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...

Each Pulsar chip also has an accelerator for convolutional neural networks (which are often used for image recognition and natural language processing) that supports 32 multiply-accumulate (MAC ...

- Building extremely efficient neural networks using photonic chips that process light signals is possible. This was proven by a study by the Politecnico di Milano, conducted together with ...

The Australian-developed machine, a biocomputer marketed for research purposes, uses living neural tissue integrated with ...

Networks programmed directly into computer chip hardware can identify images faster, and use much less energy, than the traditional neural networks that underpin most modern AI systems.

Taiwan Semiconductor Manufacturing Company (TSMC) is the world's largest chip manufacturer, providing the brains behind ...

Breakthrough in AI computation: New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal energy consumption.

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

In both cases, the photonic chip matched or outperformed traditional digital neural networks, but used fewer operations, and did not need power-hungry electronic components. In one striking result, ...

The math that allows a neural network to identify patterns in text is really just multiplication — lots and lots and lots of multiplication. We’re talking months of multiplication across ...