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

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

Quantum echoes” rippling through Google’s quantum computer chip Willow could lead to advances in molecular chemistry and the physics of black holes ...

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

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

Researchers used a new technique called algorithmic fault tolerance (AFT) to cut the time and computational cost of quantum error correction by up to 100 times in simulations of neutral-atom ...

The University of Washington’s Allen School is tackling six “grand challenges” in computer science — from AI and education to ...

How can IT move forward with confidence, without adding unnecessary complexity or cost? One answer lies in simplification.

Google says its quantum computer achieved a verifiable calculation that classic computers cannot. The work could point to future applications.

It's a well-known fact that quantum calculations are difficult, but one would think that quantum computers would facilitate the process. In most cases, this is true.

Experts warn of AI extinction risks. However, history shows past predictions of doom, like resource scarcity and nuclear ...