OpenAI official logo (public domain, Wikimedia Commons) — CryptoBriefing brand treatment The company expects the price of AI-driven frontier math to fall sharply, even as mathematicians question who deserves credit OpenAI says a Navier-Stokes project like the one it just ran…
A new review maps how numerical simulations and artificial intelligence are reshaping the study of turbidity currents, the powerful underwater flows that carve submarine canyons and threaten subsea infrastructure. Subject of Research: A review of numerical simulation methods and artificial…
These 10 unsolved problems in computer science, from P versus NP to quantum advantage, bear on cryptography, algorithm design and computing's limits — here is what each asks That distinction sounds abstract, but it decides what is feasible. A problem solvable in…
Cryptographers who develop encryption technologies may not be sleeping very well these days.OpenAI and Anthropic both said Monday that their internal AI models had disproven the Exponential Time Hypothesis, a longstanding computer science theorem that predicts the minimum difficulty…
"Social skills" and "mathematics" are terms not often grouped together. In the age of AI, one math scholar says that needs to change. With AI now capable of handling the geeky legwork required by complex problems, Steven Strogatz, a lecturer…
Estefano Gomez is an editor at Crypto Briefing specializing in blockchain analysis, DeFi, and the intersection of crypto and digital art. He previously served as Editor in Chief at Interesante for over three years, where he covered blockchain technology, NFTs,…
A Bayesian-regularized neural network trained on numerical solutions predicts velocity, temperature, concentration and bioconvection profiles of Carreau nanofluid flow along a stretching cylinder far faster than traditional solvers.
Originally published on The Daily Flare. OpenAI says its AI models have produced three new results in mathematics, computer science and physics, including a claimed refutation of a long-standing assumption about computational complexity. The company announced the findings on Monday,…
A decades-old assumption about the limits of computing may have met an unexpected challenger: artificial intelligence. On Oct. 26, the company announced that its models had produced a proof disputing the Exponential Time Hypothesis (ETH), a longstanding assumption about how difficult…
There is no practical speed up yet. It just shows that the assumption and claim that some really hard problems only have exponential solutions is false. This could be like proving that there are superconductors beyond 6 degrees of absolute zero…
Famous open problems as AI touches them: Erdős problems, the unit distance problem, Navier-Stokes, the Riemann hypothesis and other conjectures claimed by AI models.
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