G PU companies, like AMD and Nvidia, spend huge sums of money every year on researching rendering techniques, either to ...

Artificial neural networks have been applied to problems ... unit and its function is illustrated in Figure 1a. It receives input from a number of other units or external sources, weighs each ...

Infomorphic neurons, developed by researchers, are designed to learn independently and self-organize within artificial neural networks. Inspired by biological neurons, they process input signals in ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

Researchers have created an AI-powered "digital twin" of the mouse visual cortex that can accurately simulate neural ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to ...

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

Press Release Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time deep neural network (DNN) ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...