In today’s fast-moving digital landscape, reliable technology isn’t just an advantage, it’s a necessity. For businesses, ...

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

AI ‘eats’ data. We all know the garbage-in-garbage-out analogy and we understand why AI intelligence itself is inherently ...

Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...

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

University of Chicago computer scientist Sarah Sebo is programming robots to give empathetic responses and perform nonverbal ...

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched ...

But the real puzzle isn’t whether de-skilling exists—it plainly does—but rather what kind of thing it is. Are all forms of de ...

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

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

Abstract: Large Language Models (LLMs) like ChatGPT have become the most popular regenerative AI applications, used for obtaining responses for queries in different domains. The responses of ChatGPT ...

In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...