New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal ...

The melting point is one of the most important measurements of material properties, which informs potential applications of ...

Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on ...

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

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

Scientists have known for years that light pollution is growing and can harm both humans and wildlife. In people, increased ...

The input of the DeepTXsolver is the parameters of the mechanism model, and the output is the corresponding stationary distribution solution of the model. The input to the DeepTXinferrer is the ...

PIMIC, a leader in ultra-low-power AI semiconductor technology, today unveiled the Clarity™ NC100, a Deep Neural Network (DNN)-based Environmental Noise Cancellation (ENC) chip that sets a new ...

Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today ...

The tested model identified the best and least good variants and had a 74% overlap with real-life data on the average ...