Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

I thought I had missed something major in my reporting. Turns out I had stumbled into an AI-fueled feedback loop that ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...

50+ multitask evolutionary algorithms for multitask optimization 50+ single-task evolutionary algorithms that can handle multitask optimization problems 200+ multitask optimization problem cases with ...

Abstract: Aiming at the problem of insufficient accuracy of traditional license plate recognition system, this paper proposes a Matlab-based optimization design scheme for license plate recognition ...

This software package implements the CISOR reconstruction algorithm along with other benchmark algorithms that attempt to recover the distribution of refractive indices of an object in a multiple ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...