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

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

There is no AI literacy without computer science education. If we want students to shape a world transformed by AI, we must ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

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

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...