Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

A new study shows that the cerebral cortex predicts the future by detecting novel stimuli and forming short-term memory ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

An AI system developed by Google DeepMind, Google's premiere AI research lab, has surpassed the average gold medalist in ...

Logistics companies will use neural networks to manage inventory, identify the most efficient routes to ship goods to customers, and forecast demand. While it’s difficult to tell the future, we’re ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological dendrites. This innovative design allows for accurate and robust image ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns. A curated ...

“With the scale of our subsea network in the Pacific, this move will better position us to ensure the stability of the world’s digital connectivity, and support the future growth of ... simplification ...

It outperformed existing architectures like Transformers and Recurrent Neural Networks (RNNs), which demonstrated its ... memory module efficiently manages distant dependencies. This architecture ...