Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Abstract: Deep-unrolling and plug-and-play (PnP) approaches have become the de-facto standard solvers for single-pixel imaging (SPI) inverse problem. PnP approaches, a class of iterative algorithms ...
Quantum hardware and software are advancing rapidly – and our online encryption systems need to change to stay ahead.
Former Tesla President Jon McNeill discusses his new book, The Algorithm: The Hypergrowth Formula That Transformed Tesla, ...
Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Abstract: In this study, a data-driven approach is used to realize accurate prediction and systematic information processing through deep learning algorithms. Combined with high-precision data ...