News
8d
Tech Xplore on MSNAll-topographic neural networks more closely mimic the human visual systemDeep 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 ...
4d
Tech Xplore on MSNAI and humans see objects differently: Meaning versus visual featuresWhile humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.
Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.
2h
PsyPost on MSNSleep helps stitch memories into cognitive maps, according to new neuroscience breakthroughScientists have discovered that forming a mental map of a new environment takes more than just recognizing individual ...
16d
Tech Xplore on MSNAI Learns From Mice: Neural Networks Gain From BiologyThe ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving ...
New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, ...
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 ...
22h
PsyPost on MSNNeuroscientists identify key gatekeeper of human consciousnessUsing rare brain recordings from patients, scientists found that the thalamus helps trigger visual awareness. The study ...
16d
News-Medical.Net on MSNArtificial neural networks learn better when trained with biological dataThe 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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results