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BOZEMAN, Mont.--(BUSINESS WIRE)--FICO (NYSE: FICO): Global analytics software leader FICO today announced that the 2024 FICO® Xpress Best Paper Award went to a team that developed an algorithm for ...
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 Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
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, ...
A new type of computer uses oscillators in special materials to find the most efficient solutions to complex scheduling and routing problems at room temperature. (Nanowerk News) A line of engineering ...
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Luna v1.0 & FlexQAOA bring constraint-aware quantum optimization to real-world problems
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
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