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

The new program is validated in a set of clinical pedigrees demonstrating its practical accuracy and relevance to the field. Collectively, the data are compelling and support the major conclusions of ...

IBM scientists entangled 120 qubits in a single coherent “cat state,” a record-breaking feat in quantum computing.

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

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

Researchers have developed a method to calculate whether someone's brain is aging faster or slower than their chronological ...

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, ...

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

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