Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

The capacity for artificial intelligence (AI) to formulate, evolve, and test altered thought patterns under dynamic conditions indicates advanced cognition that is crucial for scientific discovery.

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Improper tuning of prosthetic foot properties to the individual user limits the efficacy of current state-of-the-art prosthetic feet in terms of walking economy. This study aims to explore ...

Nearly 80% of all stroke survivors experience walking issues, according to a study in the American Heart Association journal. For some of them, the solution is simple: ankle-foot orthoses (AFOs), ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Trump administration issues ...

Mavenir announced a groundbreaking achievement with its full-stack AI framework, Network Intelligence as a Service (NIaaS). For the first time globally, deep reinforcement learning (RL)-based live AI ...