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

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

Agencies are selling entrepreneurs quick fixes for LLM visibility, but the only strategy that lasts is the blend of PR ...

In 2025, 78% of organizations handling corporate data plan to implement privacy-by-design principles in their AI projects, ...

Cambodian fraudster Chen Zhi and his associates used a highly sophisticated cryptocurrency money laundering system, spreading ...

Abstract: With the explosive growth of interferometric synthetic aperture radar (InSAR) data, we have entered the era of InSAR big data. A key challenge in big data InSAR processing is efficient ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

NANLUX recently announced its new Evoke 600C, a 600W full-color light with a new 8-color Nebula C8 light engine. On paper, ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

Explore how data science transforms blockchain analysis, enhancing crypto security, scalability, and market insights.

Get here CBSE Maths important questions of Class 10 of Chapter-Wise for Board exam preparation. Get expert-curated questions ...

Cells process dynamic signaling inputs to regulate fate decisions during development. While oscillations or waves in key developmental pathways, such as Wnt, have been widely observed, the principles ...