Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

D-Wave's commercial traction and recent acquisition clash with Rigetti's government ties and in-house chip design, but both ...

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.

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

“We live in a nonlinear world,” said Dr. Oliver Bastert, vice president of product management for FICO Platform. “That means clear, consistent, ‘linear’ relationships between variables don’t always ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...