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.

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

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 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 ...

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 quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum advantage" and demonstrated by a USC researcher in a paper recently published in ...

A schematic of the architecture of SPIM. Many variables are represented by the spatial pattern of laser light, enabling parallel processing. Osaka, Japan – From planning transportation networks to ...