Building a chemical plant. Developing an airline route. Modeling the shapes of proteins. Each of these actions requires optimization algorithms – the combination of math and theory translated into ...

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

During my time working with tech companies navigating the early boom of AI adoption, I noticed a strange duality. Developers proudly open-sourced breakthrough models one week—and raced to patent their ...

Scientists have prototyped a new method for 'rationally engineering' enzymes to deliver improved performance. They have devised an algorithm, which takes into account an enzyme's evolutionary history, ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

The ultimate measure of success for AI will be how much it increases productivity in our daily lives. However, the industry has huge challenges in evaluating progress. The vast number of AI ...