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.

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 ...

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) This diagram depicts fully connected neurons or spins, where each element interacts with every other. (b) Although each spin can only take one of two values, the activation function used to update ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

Generative artificial intelligence is still in its early days, but it promises a future where AI is accessible to all, unlocking creativity and innovation on an unprecedented scale and sparking a ...

What if the toughest problems humanity faces—those that stump our brightest minds and stretch the limits of human ingenuity—could be tackled by a single, purpose-built system? Enter Gemini Deep Think, ...

BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...

Computers are essential for solving complex problems in fields such as scheduling, logistics, and route planning, but traditional computers struggle with large-scale combinatorial optimization, as ...