Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.
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 ...
It claims that its students learn twice as fast and score in the top 1% to 2% on MAP testing, a nationwide measure of growth in reading and math for K-8 students.
The Collatz Conjecture is defined by a rule simple enough for a child to follow. No matter what number you start with, the process always appears to end the same way — and it has never been observed ...
Abstract: In this paper, we explore how to leverage large language models (LLMs) to solve mathematical problems efficiently and accurately. Specifically, we demonstrate the effectiveness of ...
Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...