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.
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Amoeba-inspired method could enable energy-efficient hardware for complex optimization
Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...
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 ...
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 ...
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 ...
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