A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

For more than a decade, Christopher Kulendran Thomas has trained his own neural networks, building them from scratch before ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

Ashok Elluswamy, Tesla's VP of Autopilot Software, delivered a keynote titled "Building Foundational Models for Robotics at ...

Just published in Nature, the Google team’s findings demonstrate what it says is the first-ever verifiable capability by a ...

Using simulations, robots, and live fish, scientists at EPFL and Duke University have replicated the neural circuitry that allows zebrafish to react to visual stimuli and maintain their position in ...

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

LOS ANGELES, Oct. 05, 2025 (GLOBE NEWSWIRE) -- PhiNetworks, an innovative sports IT company and creator of the best-selling Phigolf home golf system, today announced the launch of the Phigolf2 Flex ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...