With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

Artificial intelligence and intracranial neural recordings have revealed the neural mechanisms underlying conversation.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

Connections made via apical synapses seemed to be strengthened by movement information more than those made via basal ...

How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

Their Canonical Representation Hypothesis (CRH) posits that, during training, neural networks inherently align their latent representations, weights, and neuron gradients within each layer.

Artificial Neural Networks (ANNs) are commonly used for ... training data set to configure the weights associated with each ‘neuron’. Due to the complexity of these ANNs for non-trivial ...