You wouldn’t use this algorithm when calculating a tip, but when it comes to multiplying large numbers, Karatsuba’s method was a big advance. And once Karatsuba opened the door to faster ...

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

To this end, [Ken Shirriff] set about reverse engineering the 8086’s multiplication algorithm. [Ken]’s efforts were achieved by using die photos of the 8086 chip.

To multiply two numbers by hand takes a few steps but it's something we're taught in school. When dealing with big numbers, really big numbers, we need to a quicker way to do things.

By transforming operands into a Montgomery domain, these algorithms enable efficient modular multiplication and exponentiation, which are crucial for public-key cryptosystems.

AI engineers develop an algorithm that will replace floating-point multiplication with integer addition to make AI processing more efficient.