Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Neural nets get a whole lot more complicated than this, but this is the essential structure: different places within a network are represented by nodes (circles) and connections between them ...

Examples include convolutional neural network (CNN), long short-term memory (LSTM), multilayer perceptron (MLP), generative adversarial network (GAN), deep belief network (DBN), Self-organizing ...

Most recently, more specific neural network projects are being generated for direct purposes. For example, Deep Blue, developed by IBM, conquered the chess world by pushing the ability of ...