Tech Xplore

Model steering is a more efficient way to train AI models

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
eWeek

GPT-5.2 Just Solved a 30-Year Math Problem

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
IEEE

A Reduced-Parameter Mathematical Surrogate Model for Improving Measurement Accuracy of Mechanical Systems Using Experimental Techniques

Abstract: Modeling of a larger mechanical system is inherently difficult due to the complexity of individual processes and the interaction between multiple processes. Using a polynomial model based on ...

'Basically zero, garbage': Renowned mathematician Joel David Hamkins declares AI models useless for solving math. Here's why

One of the world's biggest mathematicians Joel David Hamkins has slammed AI models used for solving mathematics and called ...

Who is Joel David Hamkins, the American mathematician claiming AI is 'not mathematically correct'?

Renowned mathematician Joel David Hamkins finds current AI systems unreliable for mathematical reasoning, citing their ...
IEEE

Predicting Knee Cartilage Degradation and Osteoarthritis Onset Using a Hybrid Mathematical Modeling and Machine Learning Framework

Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis, commonly affecting the knee joint and characterized by the progressive degeneration of articular cartilage (AC). Among the ...