The algorithm works by partitioning an original large problem into a group of subproblems. The D-Wave annealer then iteratively optimizes each subproblem to eventually solve the original larger one.

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions ...

Researchers propose a method that allows reinforcement learning algorithms to accumulate knowledge while erring on the side of caution.

To solve the cocktail party problem efficiently, then, an algorithm must exploit special characteristics of speech sounds.

New Research Aims to Solve the Problem of AI Bias in “Black Box” Algorithms As we automate more and more decisions, being able to understand how an AI thinks is increasingly important.

The Quantum Information Recursive Optimization (QIRO) algorithm developed by MicroAlgo demonstrates significant technical advantages in solving combinatorial optimization problems.

The Strange Story of the Algorithm Meant to Solve Life, the Universe and Everything Some researchers dream of solving all mysteries with a common method—but a mathematical paradox may keep such ...