Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Divide any circle’s circumference by its diameter and you get pi. But what, exactly, are its digits? Measuring physical ...

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

Artificial intelligence is a game changer across many fields these days and mathematics is no exception. Yet, the rapid acceleration of its ability to solve some of arithmetic’s most challenging ...

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

In a new study, scientists successfully trained a brain organoid derived from mouse stem cells to solve an engineering benchmark known as the “cart-pole problem.” By applying weak or strong electric ...

The speed at which artificial intelligence is gaining in mathematical ability has taken many by surprise. It is rewriting what it means to be a mathematician ...

Mental math shortcuts suggest future STEM performance—and gender is a significant predictor What is 29 + 14?

Dr. Clayton is a mathematician. Candidates for quantitative jobs — like those on Wall Street or in Silicon Valley — are sometimes asked offbeat questions such as: How many Ping-Pong balls fit in a 747 ...