Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

"The industry has moved from intuition-driven management to accountable, data-informed execution," said Dr. Ralph Thomas, applied analytics innovator and co-founder of Quick Custom Intelligence. "Book ...

Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to ...

UC Berkeley math professor Nikhil Srivastava met with researchers on a mission to create a new way of assessing the mathematical capabilities of AI.

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

Ten years after the "Mississippi Miracle," some senators say it's time for the legislature to focus on progress in elementary math classes.

Abstract: As personalized learning gains increasing attention in mathematics education, there is a growing demand for intelligent systems that can assess complex student responses and provide ...

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

Project Genie, powered by the Genie 3 model, has the potential to fundamentally transform the way video games are built and ...

⚠️ Note: The figure generation scripts are currently being consolidated from multiple Jupyter notebooks. Python .py versions will be added progressively for reproducibility. 🗓️ This research was ...

This repo is the official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning". We follow the framework of Pilot to implement this ...