The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

Have you ever found yourself staring at an Excel spreadsheet, trying to figure out how to make sense of all the numbers and data? Maybe you’ve spent hours manually calculating groups, splitting dates, ...

There’s an old saying: When the only tool you have is a hammer, every problem looks like a nail. Sometimes referred to as “the law of the instrument,” that hammer-and-nail idea is a common pitfall in ...

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 ...

Business owners who are great problem solvers within any business are the best prepared to solve their customers’ needs effectively as well. In fact, every business is about solutions to customer ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Forward-looking organizations are increasingly embracing new technologies to navigate the ever-challenging business environment and stay competitive. In a recent Gartner survey of supply chain ...