(Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to the human brain’s energy efficiency and adaptability. Biological neurons handle complex ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network. Subscribe to our newsletter for the latest sci-tech news updates. ...

Please provide your email address to receive an email when new articles are posted on . The training process of the neural network involved clinical data and a CT scan (either single-phase or ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

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 ...

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

In a study published in Cell on July 10, a team from the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT) of the Chinese Academy of Sciences, along with a team from the HUST ...

Scientists developed two new sensors that can detect brain cell communication in real time, tracking chemical messages ...