In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...

Understanding the gap between how today's parents learned math and how their children are being taught, and how to work with ...

For You pages prioritized pro-Republican content in three states, researchers say, but TikTok says study does not reflect real user behavior A study published Wednesday in the journal Nature finds ...

KoBold Metals just broke ground on a $2.3 billion copper mine in Zambia that an algorithm flagged. Now humans have to dig it, through some of the wettest, deepest rock in global mining.

More than 1,200 years ago, in the intellectual heart of Abbasid Baghdad, a Persian scholar quietly reshaped how humans understand numbers, problems and logic. His name was Muhammad ibn Musa ...

Audited multi-year performance and institutional futures systems aim to redefine retail access to algorithmic trading strategies Illinois, USA, 27th April 2026, ZEX PR WIRE - Vincere Trading, a ...

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

Math proficiency levels rose more than 20 percentage points in two New York school districts during the 2024-2025 school year, according to state data. Proficiency in both the Glens Falls Common ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

GPT just keeps getting better at mathematics, increasingly solving the trickiest of problems. In January, AI testing company Epoch AI found that a previous version of the AI model, GPT-5.2 Pro had ...

Despite political turmoil in the U.S. AI sector, in China, the AI advances are continuing apace without a hitch. Earlier today, e-commerce giant Alibaba's Qwen Team of AI researchers, focused ...

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 ...