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

Home > Press release: Two New Emmy Noether Groups Established ...

Quantum researchers in the twenty-first century are part of an international network that requires a great deal of ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

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

Special Report: In the September quarter, Adisyn installed and commissioned its state of the art Atomic Layer Deposition ...

Researchers have developed a sustainable solid lubricant that could be used in the agriculture industry in an effort to ...

A study published in the International Journal of Mobile Learning and Organisation has mapped the fast-growing field of ...

Learn how Neo4j and n8n simplify knowledge graphs for smarter data insights. Build AI-driven graphs for customer data and document navigation ...

Going on antidepressants can give many people their life back, but for some there is a catch. About 25% to 80% of people who take antidepressants experience sexual side effects to some degree during ...

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