New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

MATLAB could anchor the physical AI era, where simulation-first engineering and grounded generative AI turn physics into reliable, deployable intelligence.

MANY of the towering intellectuals in the US — even those who can write down mathematical models for complex economic problems in a jiffy or those with a firm grasp of algorithms — still harbor a ...

AI shapes daily life but remains unreliable and costly. Canada can lead by investing in the mathematics that make these ...

Chandigarh University features amongst World’s Top 2% Scientists Chandigarh, India (NewsVoir) The rapid advancements in the world of technology in ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever ...

Picture a CFO scanning a cash-flow model where one interest rate cell sits off by a single percentage point. The spreadsheet ...

Discover Jan Tinbergen's groundbreaking work in econometrics and dynamic macroeconomic models that earned him the first Nobel Prize in Economics in 1969.

Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...

Abstract: In this research study, YOLO-based object detection is proposed, the main objective of which is to accurately count math symbols and formulas in technical and instructional texts. Thus, the ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...