Abstract: Home energy displays are emerging home energy management devices. Their energy saving potential is limited, because most display whole-home electricity consumption data. We propose a new ...

Abstract: Network softwarization is one of the major paradigm shifts in the next generation of networks. It enables programmable and flexible management and deployment of the network. Network function ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a wildfire's path, intensity, and growth rate. If you've ever been evacuated ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...

Prior speedup claims required the assumption that there is no better classical algorithm against which to benchmark the quantum algorithm. Here, the team led by Lidar used an algorithm they modified ...

Quantum annealing has finally shown scaling advantages, offering faster, near-optimal solutions than traditional supercomputers, thanks to error-suppressed quantum processing. USC researchers have ...

This story is from the 2025 issue of Discoveries, a UC San Diego Health Sciences magazine. For the past five years, several University of California San Diego electrical engineering graduate students ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread. Researchers at USC have developed a new method to accurately predict ...