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.

On a simple math task - indicating which of two amounts is greater - kids with math learning disability get the right answer ...

The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the gauntlet with an exam of actual, unsolved problems that are relevant to ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Candidates can access the HP SET Syllabus 2026 PDF Download link to identify exam-relevant topics. Studying only topics that matter will make their preparation more effective. This lets them avoid ...

Qwen has introduced Qwen3-Max-Thinking, a flagship reasoning model designed for tackling complex math, coding, and multi-step agent workflows. This model is now available for direct use in Qwen Chat ...

Mathematical reasoning is critical for tasks such as precise distance and area computations, trajectory estimations, and spatial analysis in unmanned aerial vehicle (UAV) based remote sensing, yet ...

Introduction: Inductive reasoning develops from similarity-based to category-based processes, and linguistic labels are thought to facilitate this shift, though whether they provide similarity or ...

After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and the ...

Recent advances in Vision Language Models (VLMs) have shown significant progress in mathematical reasoning, yet they still face a critical bottleneck with problems that require visual assistance, such ...