Abstract: When solving optimization problems with expensive or implicit objective functions, evolutionary algorithms (EAs) commonly utilize surrogate models as cost-effective substitutes for ...

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.

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 ...

Taking a page from the private insurance industry’s playbook, the Trump administration will launch a program next year to find out how much money an artificial intelligence algorithm could save the ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...