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Can generative AI solve computer science’s greatest unsolved problem?

Computer scientists contemplate whether the time required to compute a solution is out of reach for the hardest problems. The question of Does P = NP? is now treated as a multi-prompt session with the GPT-4 language model. The greatest insight of the work may be how to prune past chat sessions to maintain a discussion.

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When computer scientists hang out at cocktail parties, they’re apt to chat, among other things, about the single most important unsolved problem in computer science: the question, Does P = NP

Formulated nearly 50 years ago, the question of whether P equals NP is a deep meditation on what can ultimately be achieved with computers. The question, which has implications for fields such as cryptography and quantum computing, has resisted a convincing answer despite decades of intense study. Now, that effort has enlisted the help of generative AI.

Also: DeepMind’s RT-2


COVID calculations spur answer to old problem in laptop or computer science — ScienceDaily

In the course of the corona epidemic numerous of us grew to become beginner mathematicians. How immediately would the range of hospitalized individuals increase, and when would herd immunity be realized? Specialist mathematicians have been challenged as well, and a researcher at College of Copenhagen turned impressed to remedy a 30-12 months-old dilemma in laptop or computer science. The breakthrough has just been released in th Journal of the ACM (Affiliation for Computing Machinery).

“Like numerous other individuals, I was out to estimate how the epidemic would acquire. I required to examine sure thoughts from theoretical personal computer science in this context. Even so, I recognized that the lack of solution to the outdated challenge was a showstopper,” says Joachim Kock, Associate Professor at the Department of Mathematics, University of Copenhagen.

His remedy to the problem can be of use in epidemiology and computer system science, and likely in