Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

At the same time, Nucleus Fund invested $250,000 in Intactis Bio Corp to help the company grow its platform, increase the difficulty of the tasks it can handle, and move toward commercialization. This ...

BYU mathematics professor Doug Corey and a team of students created a YouTube channel devoted to applying theoretical math concepts to real-world problems. Imagine this: the BYU Cougars men’s ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...