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 ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

Artist Terence Broad makes AI produce images without any training data at all.

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 ...

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, ...

New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in ...

Video content, whether it’s marketing material, entertainment, or educational tutorials, is the king of modern communication. However, the challenge of language differences has often hindered the ...

All-topographic neural networks (All-TNNs) more accurately reflect the organization and function of the human visual system than conventional deep learning models like CNNs. By spatially organizing ...

Few have influenced the course of artificial intelligence (AI) more than Jeff Dean. As chief scientist at Google DeepMind and ...