OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

AI is reducing obvious hallucinations, but deeper structural failures remain — and they may be far more dangerous for experts ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Easy access to AI answer bots is killing learning. That’s one of the conclusions in a new and troubling study about AI use ...

Secure your AI agents against future quantum threats. Learn how to implement quantum-resistant cryptography within Model Context Protocol (MCP) environments.

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

AlphaProof Nexus combines LLM-driven proof generation with machine verification to crack open math research problems that have stumped mathematicians for decades. Google Deepmind's new framework ...

Problem-solving skills are essential in the age of artificial intelligence. Don’t Take Math Education For Granted As the United States celebrates its semiquincentennial, let’s not take for granted our ...

After 80 years of fruitless struggle by human mathematicians, a major geometry conjecture has at last been solved—via a straightforward query to a chatbot. “No previous AI-generated proof has come ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Abstract: Automatically solving math word problems (MWPs) is a challenging task for artificial intelligence (AI) and machine learning (ML) research, which aims to answer the problem with a ...