'Proof by intimidation': AI is confidently solving 'impossible' math problems. But can it convince the world's top mathematicians?

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
The New York Times

These Mathematicians Are Putting A.I. to the Test

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform. By Siobhan Roberts A few weeks ago, a high school student emailed Martin ...
VentureBeat

Lean4: How the theorem prover works and why it's the new competitive edge in AI

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In ...
Finanznachrichten

Commit Biologics achieves proof-of-concept for novel Complement Engager platform in non-human primates

Novel approach harnessing the power of the complement system to drive potent cell depletion Single-dose study shows rapid and sustained immune cell depletion in blood and tissues with a very ...
IFLScience

The Pythagorean Theorem Predates Pythagoras By 1,000 Years: "The Proof Is Carved Into Clay"

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
C&EN

Activation of the ‘complement system’ helps trigger dangerous sickle-cell-disease outcome

Among people with sickle cell disease—an inherited blood disorder—acute chest syndrome (ACS) is the leading cause of death. The condition is the result of red blood cells becoming stiff, sticky, and ...
InfoQ

DeepSeek Launches Prover-V2 Open-Source LLM for Formal Math Proofs

The system then employs a methodical strategy to address each component of the proof individually, creating a structured approach to theorem proving that builds upon previously established results.