Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Duolingo Speaks The Language Of Long-Term Compounding

AI is an accelerator for Duolingo, enhancing its product and growth opportunities. Click here to read why I rate DUOL stock a ...
Maui Now

ML&P ditch system improvements designed to keep water in Honokōhau Stream during low flow

Maui Land & Pineapple Company, Inc. announced that installation of a remotely monitored and operated diversion in Honokōhau Stream is expected to be completed this week. This improvement to the ...
Electronic Design

Basics of Design: What is TensorFlow?

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
Frontiers

Machine learning pipeline for microparticle size classification in self-mixing interferometric signals for flow cytometry

Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...
C&EN

From Bench to Browser: How Reddit Chemists Are Shaping AI, Flow Chemistry, ASOs, and Sustainability in Medicinal Chemistry

Online forums like Reddit, particularly subreddits such as r/chemistry and r/medchem, offer an unfiltered look at the practical optimizms, frustrations, and originations of medicinal chemists across ...
IEEE

Failure management in optical networks with ML: a tutorial on applications, challenges, and pitfalls [Invited]

Abstract: This tutorial identifies and discusses the main design choices and challenges arising in the application of machine learning (ML) to optical network failure management (ONFM), including ...