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MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken through the limitations of classical methods. This ...
For example ... likelihood estimation or Bayesian inference, followed by binarization processing with adaptive thresholding algorithms (e.g., Otsu). Hybrid Optimization Framework: A variational ...
A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum ...
The new refinement stage algorithm is further enriched with an efficient (offline) hyper-parameter tuning mechanism via Bayesian optimization (BO) and acceleration method based on a half-space ...
Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable ...
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
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