In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

Findings by Hopkins researchers suggest that all humans are equipped with the foundation needed to learn programming ...

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 ...

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

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

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

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Recent advances in AI have transformed app creation into something conversational and accessible to non-programmers, ...

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