Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...

The photonic chip developed by MIT could change that by performing key computations at lightning speed, completing tasks in less than half a nanosecond. Deep neural networks process data through ...

PIMIC, a US company that specialises in ultra-low-power AI semiconductor technology, has unveiled the Clarity NC100.

PIMIC announced launch of the new Clarity NC100, a Deep Neural Network (DNN)-based Environmental Noise Cancellation (ENC) ...

Researchers developed a technique that senses a model's electromagnetic 'signature' and compares it to other models run on ...

Abstract: The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's ...

However, there are some types of neural network computations that a photonic device cannot perform, requiring the use of off-chip electronics or other techniques that hamper speed and efficiency. Now, ...

One example could be Real-Time Neural Radiance Caching for Path Tracing. It's all pretty complicated, but the short version ...

In terms of on-chip memory, that's a lot. Luckily we don't have to process the whole scene at once. We can sub-divide this screen and take just a piece of it at a time through the neural network.

The Chinese-government backed parent company has been accused of asset stripping and IP transfer during its time as owners ...