Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
Two decades ago, the mathematician Moon Duchin spent her summers teaching geometry at Mathcamp, a program for mathematically ...
The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...
IBM scientists entangled 120 qubits in a single coherent “cat state,” a record-breaking feat in quantum computing.
IBM’s new 120-qubit experiment marks a leap forward, advancing technology that could one day crack Bitcoin’s encryption.
In 2025, 78% of organizations handling corporate data plan to implement privacy-by-design principles in their AI projects, ...
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 ...
A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...