A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.
Researchers in Japan built a miniature human brain circuit using fused stem-cell–derived organoids, allowing them to watch ...
This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
CPUs and GPUs are old news. These days, the cutting edge is all about NPUs, and hardware manufacturers are talking up NPU performance. The NPU is a computer component designed to accelerate AI tasks ...
Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...
Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...
At the Meta Connect 2024 conference, CEO Mark Zuckerberg said that the company is developing a “neural interface” that can be used to control its prototypical Orion AR glasses. The interface, which ...
NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical computing software, today announced the availability of a hardware support package for the Qualcomm® Hexagon™ Neural ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.