McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

Abstract: To successfully reconstruct the strong scatterers with high contrast in electromagnetic inverse scattering problems (ISPs), this letter proposes a region iteration method (RIM) based on the ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Anderson acceleration is an optimisation technique designed to improve the convergence of fixed-point iterations, a common approach utilised in solving nonlinear equations. By blending current and ...

Matrix splitting iteration methods have emerged as potent tools in addressing complementarity problems, which frequently arise in optimisation, economics and engineering applications. These methods ...

Abstract: We researches a new iterative algorithm for quadratic programming problem based on the modified Uzawa algorithm and the ALPMHSS iteration algorithm in this paper. And we obtains the ...

Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...

Fending off doubts and criticisms, Alabama’s attorney general hailed a new execution method as “humane and effective.” By Shaila Dewan For as long as America has had the death penalty, there have been ...

One effective method to improve the reasoning skills of LLMs is to employ supervised fine-tuning (SFT) with chain-of-thought (CoT) annotations. However, this approach has limitations in terms of ...