Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

The seven Millennium Prize Problems represent some of the hardest unsolved questions in mathematics, including one famously solved by Grigory Perelman, who refused the million-dollar reward.

Abstract: The “Automated Math Equation Recognition and Problem Solving with Computer Vision” research work is to develop a framework that utilizes computer vision methods to consequently recognize ...

Critchlow Adkins Children’s Centers is proud to be expanding its pre-kindergarten programming through the Blueprint for Maryland’s Future (Blueprint), in ...

Abstract: Due to long optimization time and limited dispatching cycle, multi-area combined economic/emission dispatch (MACEED) problems are converted into computationally expensive MACEED (CEMACEED) ...

The Trump administration might’ve gone one power grab too far US plane used in boat strike was made to look like civilian aircraft Why Elon Musk says saving for retirement will be 'irrelevant' in the ...

According to Greg Brockman (@gdb) and Terence Tao, GPT-5.2 Pro has reached a significant milestone by independently solving an Erdos problem—a first for large language models (LLMs). This achievement ...