RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

In their own minds, the makers of broadcast network news think their mission is to hold powerful institutions accountable, to bring the facts to bear on public issues and inform the public about the ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

(The Center Square) – Chinese networks are laundering billions of dollars in drug cartel cash through the U.S. financial system, according to a new report from the Treasury Department. Treasury's ...

Forward-looking: Traditional computer chips perform tasks by sending digital signals at regular clock speeds, but new experimental hardware uses microwaves for specialized workloads. The resulting ...

How does cannabis influence cognitive abilities, specifically regarding aging? This is what a recently submitted study to Nature Portfolio hopes to address as an international team of researchers ...