Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

Researchers worry that Medicaid home care eligibility decisions are often made without public scrutiny and based less on ...

Abstract: This study evaluates the effectiveness of community detection algorithms in uncovering the structural framework of Indonesian legislation enacted from 2019 to 2024. Using social network ...

China - Emerging Trends In Criminal Cases Involving Internet Companies: Analysis Of High-Frequency Crimes And Risk Control ...

More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...

The Ravens have been decimated in the secondary. Still, reinforcements are on the way, as former Eagles and Texans defensive back C.J. Gardner-Johnson is signing with the Ravens' practice squad ...

Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...

The Houston Texans might have the scariest offense in the NFL. Well, that would be the case if only talking about the past five quarters of action between stops at NRG Stadium and M&T Bank Stadium.

This meta-analysis included articles that reported the diagnostic performance of deep learning algorithms based on dermatoscopy for detecting BCC. The quality and risk of bias in the included studies ...