The latest craze in the fitness world—from gym culture, to nutrition planning, to recovery protocols— is hyper-personalized optimization. But is there really a benefit to at-home microbiome tests that ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

Many diagnostics-focused artificial intelligence techniques in the state-of-the-art rely on combinations of least-squares-based autoregressive models and neural-network-like approaches. Prognostics ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

Your code runs without any errors Leave your name, student ID, ETH email address and URL link to demo video in the my-info.json file. April 9: Dear student, we find a minor typo in the README.md. The ...

Abstract: Hopfield neural networks and interior point methods are used in an integrated way to solve linear optimization problems. The neural network unveils a warm starting point for the primal-dual ...

Abstract: A new approach to solving optimization problems in the field of machine learning is considered. The greatest complexity among such problems is the problem of gradient search for the optimum ...

On October 5 2024 Meinoff Sellman published an optimization puzzle on Linkedin that caught my attention. The puzzle was about finding the optimal solution for a simple non-linear optimization problem.