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 ...

Abstract: Route discovery for Point-to-Point (P2P) traffic flows is critical in Low-power and Lossy Networks (LLNs), especially in home and building automation applications. Although the Routing ...

According to a study published in Neurocomputing, mimicking the brain's neural wiring can significantly improve the performance of artificial neural networks used in generative AI and other modern AI ...

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 ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

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 ...