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 ...

Abstract: The actual field survey data from the Rice Department of Thailand's Ministry of Agriculture over a large area wastes a huge amount of resources. To solve this problem, this paper proposes a ...

This story originally appeared in the winter 2025 issue of UC San Diego Magazine as “Made Possible By AI, And Those Who Dream Big.” The rise of artificial intelligence has already transformed every ...

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 ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

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With the popularity of new energy grids with high penetration rate, classic non-intrusive power load identification algorithms such as hidden Markov model (HMM) need to face the uncertainty caused by ...