A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...

As analysis becomes cheap and internalized, consulting concentrates around senior judgment, system integration, and decisions ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Post-quantum cryptography specialist BTQ Technologies has introduced ‘Bitcoin Quantum,’ a permissionless fork and testnet of ...

People show up out of duty, not desire, and then feel guilty for not enjoying themselves more. The group becomes an ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Abstract: Nonlinear equation systems are ubiquitous in a variety of fields, and how to tackle them has drawn much attention, especially dynamic ones. As a particular class of recurrent neural network, ...

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...