A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

M. Janssen et al, Deep learning inference with the Event Horizon Telescope III. Zingularity results from the 2017 observations and predictions for future array expansions, Astronomy & Astrophysics ...

Researchers have developed a new hybrid earthquake early warning system called HEWFERS, which leverages advanced machine ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...