Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Financial institutions face an unprecedented data challenge. Asset managers routinely analyze thousands of documents for due diligence, investment banks parse complex regulatory filings, and private ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Third and fifth grade students at Florence Elementary School in High Point participated in "March Multiplication Madness" today, honing their math skills in a bracket-style tournament.Spaces around ...

The company behind hits like “The Matrix” and “Ocean’s Eleven” has filed for bankruptcy, the latest domino to fall in a struggling Hollywood industry. Village Roadshow Entertainment of West Hollywood, ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...