A gradient-based optimization algorithm provides optimal topology and fiber alignment for Tailored Fiber Placement composites. The algorithm generates minimum-compliance designs for single or multiple ...

COMP_SCI 496: Theory of Gradient-Based Optimization in ML VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS MS or CS PhDs students or consent of instructor Description. In this course, you’ll learn ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

The code in this article is based on the 2011 research paper "Spiral Dynamics Inspired Optimization" by K. Tamura and K. Yasuda. You can find the paper in PDF format in several places on the internet.

Differential Evolution Optimization. Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization ...

This study introduces a proprioceptive framework for robots to identify object properties through motion analysis, improving efficiency and reducing costs.