Researchers in Japan have developed a simpler computing model inspired by the behavior of slime molds. The approach could ...

Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...

Computers based on slime molds may be the next step for solving some of the most advanced and resource-heavy problems.

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

Research paper by Bjørnar Luteberget and Giorgio Sartor wins 2024 FICO® Xpress Best Paper Award; the algorithm is now in FICO® Xpress Solver “When solving a very large computational problem, ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

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 ...

“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 ...