Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

“None of this heterogeneity and other complexities are included in typical deep-net models, which use instead a limited set of highly simplified homogeneous artificial neurons,” Ullman said. Circuits ...

Researchers at ML Collective in San Francisco and Columbia University have conducted a study aimed at understanding the biological basis of relational learning by using a particular type of brain ...

The deep learning pioneers believe that better neural network architectures will eventually lead to all aspects of human and animal intelligence, including symbol manipulation, reasoning, causal ...

Machine learning predicts behavior of biological circuits Neural networks cut modeling times of complex biological circuits to enable new insights into their inner workings Date: October 2, 2019 ...

Thanks to so-called 'deep learning," a subset of artificial intelligence (AI) algorithms inspired by the brain, machines can match human performance in perception and language recognition and even ...

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.