The program runs each method 100 times to measure average execution time and compares the performance against expected computational complexity. Cramer's Rule computes each variable xᵢ as the ratio ...

Ford has launched two AI systems to help factory workers find minor parts problems. The system checks if the correct trim parts are added to each vehicle and if each electrical connection is fully ...

These days, everyone seems to have an opinion about A.I. companions. Last year, I found myself joining the debate, publishing a paper—co-written with two fellow psychology professors and a philosopher ...

Abstract: The time-dependent nature of real-world problems and the ubiquity of linear equations underscore the fundamental importance of time-dependent systems of linear equations (TDSLE). However, ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

Remember the scene in Iron Man 2 where Tony Stark rediscovers a new element and is handling virtual 3D holographic elements with his hands, moving them around, pinching, swiping, flicking, and tossing ...

1 Actuarial Science Master Study Program, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia 2 Industrial and Financial Mathematics Research Group, Faculty of ...

Some experts predict that A.I. will surpass human intelligence within the next few years. Play this puzzle to see how far the machines have to go. By Dylan Freedman and Cade Metz Produced by Juliana ...

Masaki Kashiwara has won the 2025 Abel prize, sometimes called the Nobel prize of mathematics, for his work on algebraic analysis. Kashiwara, a professor at Kyoto University, Japan, received the award ...

Max Park is a longtime speedcubing world record holder — for the 3x3x3 cube, his best official time is 3.13 seconds. Let's show you how he does it. By Siobhan Roberts, Jeremy White, Sean Catangui and ...

One of the pitches for investing heavily in AI—especially resource-intensive versions such as large language models (LLMs)—is the argument that these powerful technologies have the potential to help ...