“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
Federal data shows post-pandemic student math scores are still down. Maine education officials are responding with a new effort to show students that math has real-world relevance. Federal data ...
Federal data shows post-pandemic student math scores are still down. Maine education officials are responding with a new effort to show students that math has real-world relevance.
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...
Abstract: Background: The COVID-19 pandemic and the shift to digital learning materials have dramatically reduced the use of paper-based textbooks in higher education. In the field of engineering, ...
This holiday-themed brainteaser looks simple, but it's quietly tripping up adults everywhere I’ve been out of school for decades, and I don’t spend my days solving equations (I’m more of a word person ...
Santa will be at Kump Education Center for a Centennial Celebration with a curious collection of 100 Christmas trees on Sunday, Dec. 21 from 1-3 p.m. at the 100-year-old brick house across from Kroger ...
‘Not a math person’: NC wants to make math classes more relevant to students entering the real world
Proposed changes to North Carolina's math standards would shake up requirements for upperclassmen in the state’s public high schools and emphasize real-world problem-solving in all grade levels. The ...
Edith Butler is dealing with a real-world math problem: Her housing costs keep rising while a tax credit intended to help keeps shrinking. The widow and retired nurse, 68, lives by herself in a ...
Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...
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