Transitioning to quantum-safe cryptography is not necessarily a top priority for every system of every organization, said the ...

Explore the origins, evolution, and significance of coding from ancient machines to modern programming languages in today's digital world.

ADWEEK has opened the 2026 AI Power List for entries. As an evolution from last year's AI Trailblazers Power 100, ADWEEK’s AI ...

The question that will define the future of food is no longer what we eat, but who owns the right to decide it. This is not a ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

Computer programming powers modern society and enabled the AI revolution, but little is known about how our brains learn this ...

Mt. Gox’s former CEO, Mark Karpeles, used Claude AI to analyze Mt. Gox’s early codebase, with the AI labeling it “critically ...

The Chairman of the House Select Committee on the Chinese Communist Party, Rep. John Moolenaar (R-MI), voiced persistent national security concerns regarding ...

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

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

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

Explore the differences between B.Tech in Computer Science and BCA to make the best choice for a future career in AI, IoT, ...