Individuals with strong attention-deficit/hyperactivity disorder (ADHD) symptoms, related to inefficient cognitive executive ...

Connecticut's reflexive opposition to development is undermining economic growth, but practical reforms — including better ...

Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to writing clean code and testing edge cases. These practical problem-solving ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

A new study by neuroscientists at Northwestern University validates the possibility of influencing dreams and offers a crucial step to support the theory that dreams in REM sleep — the rapid eye ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Meet Anthropic’s Opus 4.6 with a 1 million token window in beta. Allowing you to analyze huge repos faster and cut manual ...

LAAL is not linear; it’s a loop. Great leaders return to listening after acting, reanalyze with new data and adjust course ...

Mastery of tool-assisted hunting requires a cognitive threshold previously thought impossible for canines. The 14-month observation period revealed structural limitations in standard predatory ...

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...