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.

In Algorithms Are Not Enough, Roitblat provides ideas on what to look for to advance AI systems that can actively seek and solve problems that they have not been designed for.

“When solving a very large computational problem, optimization solvers can require significant computational time to find a first feasible solution,” said Dr. Timo Berthold, director of Mixed ...

Algorithms Won’t Solve All Your Pricing Problems Listen | Podcast loading... A conversation with Esade professor Marco Bertini on how pricing algorithms hurt customer relationships.

Gemini Deep Think, the AI redefining intelligence by solving complex math problems and challenging human reasoning at the IMO.

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number of affected requests" (maxNAR) to measure worst-case attack impact, then ...

The Best Way Forward? When classical and quantum algorithms compete, they often do so on the battlefield of optimization, a field focused on finding the best options for solving a thorny problem.

Quantum computing is regarded to be a rapidly-evolving technology that is the key to solve the world's complex problems. Just how big is its impact on us?