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 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 ...
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New magnetic computing system could tackle complex optimization problems
When designing new computer chips, engineers need to make various decisions about how to connect their underlying components ...
NVIDIA introduces a multi-GPU solver for decision optimization, scaling to 100 million variables and beyond, promising faster ...
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 ...
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 ...
Introduction: Solving the “Eternal Contradiction” of Inventory Problems with AI“Stockouts lead to lost opportunities, while ...
I had my self-made "evolutionary optimization engine" solve a problem for which the answer was already known.It automatically ...
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