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

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

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, ...

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 ...

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

“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 ...

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 ...