With advanced simulations, scientists at Argonne, UChicago have created a way to predict and engineer new properties for ...

The rally has placed them among the best performers in the stock market, dwarfing the returns of popular artificial ...

Abstract: Deep learning has been used across a large number of computer vision tasks, however designing the network architectures for each task is time consuming. Neural Architecture Search (NAS) ...

AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...