Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Morning Overview on MSNOpinion
Top AI models are failing hard at solving fresh math problems
Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...
Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls ...
Google upgrades its Gemini 3 Deep Think AI mode with stronger reasoning and practical problem-solving for science, research, ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.
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