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 ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

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

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

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

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 ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

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, ...

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 ...