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.

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

The test could serve as an alternative in cervical cancer screening, cytology, according to a new study. Certain types of ...

The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

As global manufacturing and infrastructure sectors adapt to post-pandemic economic realities and evolving environmental ...

Discover how PGNAA is transforming materials analysis in mining, cement, and steel. Get expert insights from Thermo Fisher’s ...

The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...

The DXR3 SmartRaman+ Spectrometeris an at-line Raman spectrometer designed for pharmaceutical quality control.

On HMMT Feb 25, a rigorous reasoning benchmark, Qwen3-Max-Thinking scored 98.0, edging out Gemini 3 Pro (97.5) and ...

A popular technique for studying brain disorders, known as lesion network mapping (LNM), appears to have a fundamental limitation. This is the conclusion of neuroscientists from Vrije Universiteit ...

Abstract: Trajectory similarity is a fundamental operation in spatial-temporal data mining with wide-ranging applications. However, trajectories inherently exhibit diversity due to varied sampling and ...