AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
IEEE

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach

Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...
Food Processing

Process Control Solutions Innovate through Digitization, AI and Machine Learning

The computer age — and now the digital revolution — has taken human beings to new heights and greater milestones, and food & beverage processing operations have come along for the ride. Digital ...
C&EN

Multiphase Flow and Coalescence Filtration in Fibrous Filters: A Review of Numerical and Machine Learning Approaches

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...
Purdue University

Blueprints for a molecular machine more powerful than CRISPR

WEST LAFAYETTE, Ind. — More than a decade ago, scientists harnessed a bacterial molecular machine that identifies and cuts specific sections of DNA, revolutionizing the ability to edit genes and ...
IEEE

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
techxplore

Quantum machine learning improves semiconductor manufacturing for first time

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...
C&EN

Machine Learning-Driven Optimization of Continuous-Flow Photoredox Amine Synthesis

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...
Microsoft

A periodic table for machine learning

esearchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...