When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...
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Robotic assembly lines gain flexibility as algorithm plans tasks, teams and floor layouts
Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile ...
Abstract: This paper presents a novel approach to product design optimization through the synergy of Genetic Algorithms (GA) and specific AI techniques. By iteratively evolving solutions inspired by ...
Former DeepMind scientists raise $5 million for Hiverge, a startup developing AI to improve code.
For more than 25 years, architect Alex Klumb has been shaping the built environment of the Roaring Fork Valley and beyond. A ...
Abstract: Despite the widespread use of established optimization algorithms like Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Non-Dominated Sorting Genetic Algorithm-III (NSGA-III), and Multi ...
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