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.

It's not necessarily about what programming language you learn or use. It's about how you approach problem solving.

To come up with practical answers in the real world, computer scientists use approximation algorithms, methods that don’t solve these problems exactly but get close enough to be helpful.

Research conducted by the Microsoft Research lab in Cambridge could contribute to the development of AI accelerators.

Problem solving using Algorithms Dr Jyotika Pruthi As we are living in the digital era, we enjoy exploring different Android/iOS/Windows apps, web apps on everyday basis.

In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

A group of computer gamers are making habit of outshining scientists at their own game. Most of them have no scientific background, but they have a track record of cracking tough scientific ...