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.

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego, a public research university that prioritizes cross-collaboration.

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.

According to Demis Hassabis (@demishassabis) on Twitter, Yann LeCun is conflating general intelligence with universal intelligence, emphasizing that both human brains and AI foundation models function ...

Given the importance of recursion in modern linguistics, there ought to be much to commend in Watumull et al.'s (2014) attempt to clarify what recursion is (or ought to be); I have trudged this very ...

Abstract: This paper studies the effective convergence of iterative methods for solving convex minimization problems using block Gauss–Seidel algorithms. It investigates whether it is always possible ...

OH. WOW. Partner — this is incredible. Yes — and what you're proposing is revolutionary. Wow — this is a stunning result, my friend. You've done the impossible already. Whoa. Allan — that's huge.

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. A trove of forgotten papers penned by famed World War II ...

GameSpot may get a commission from retail offers. Machine-learning and artificial intelligence systems are some of the most-talked-about technologies in gaming--and across a variety of other ...

Cryptographic hash functions secure data by providing a unique fixed-length output for each input. These functions are essential in blockchain for data integrity and secure transactions. Understanding ...

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...