When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning applications. Through case studies on text ...

Journal Reference: Mikito Konishi, Masanobu Inubushi, Susumu Goto. Fluid mixing optimization with reinforcement learning. Scientific Reports, 2022; 12 (1) DOI: 10.1038/s41598-022-18037-7 ...

Eta Compute's TENSAI Flow is another step in the same direction and enables TensorFlow networks to run on Eta Compute's ultra low power SoC, with the best optimization the company can provide ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

Flow boiling and flow condensation in mini/micro channels is a very effective technique for meeting the high heat dissipating and heat acquisition requirements of thermal management systems. However, ...