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

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

The P vs NP problem is a fundamental question in computer science, unproven for decades, with immense consequences. If ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

A Brief Overview Dyscalculia is a specific learning disability that affects a person’s ability to understand numbers and learn math concepts. Like dyslexia, which impacts reading skills, dyscalculia ...

Beyond advanced mathematics or theoretical computing breakthroughs, PQC is about protecting the systems enterprises already ...

As New York debates large data centers, the public deserves more than fear dressed up as math. Data centers use electricity, ...

In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent my days and nights struggling through a Ph. D.

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal model—and what that could mean for mathematics.

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...