LONDON, Feb 11 (Reuters) - An artificial neural network, a type of artificial intelligence which can engage in machine ...

University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

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 ...

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as indispensable interfaces that enable the communication between biological ...

Neuronal network dynamics and electrophysiology encompass the study of how networks of neurons communicate, adapt and process information through electrical signals. This field integrates insights ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

For more than a century, the story of the brain has been told as a tale of neurons, with every thought and memory traced to their electrical chatter. That narrative is now being rewritten as evidence ...