Rochester Institute of Technology

Data Is Just the First Step: The Full Potential of Machine Learning for Advanced Manufacturing

In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...
Forbes

The Challenges Of Machine Learning And Computer Vision Adoption In Manufacturing And How To Overcome Them

Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...
pv magazine International

How to integrate machine learning in solar cell manufacturing

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...
Nature

Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties

The performance of electrochemical cells for energy storage and conversion can be improved by optimizing their manufacturing processes. This can be time-consuming and ...
The Business Journals

How AI and machine learning are transforming the manufacturing industry

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Artificial intelligence (AI) and machine learning (ML) are ...
Digi Times

Column: Modern computational methods transform semiconductor manufacturing landscape

Since 2000, semiconductor manufacturing has increasingly depended on advanced computational techniques, notably first principles calculations and machine learning, with quantum computing anticipated ...
Semiconductor Engineering

Applications, Challenges For Using AI In Fabs

Experts at the Table: Semiconductor Engineering sat down to discuss chip scaling, transistors, new architectures, and packaging with Jerry Chen, head of global business development for manufacturing & ...
Nature

Predicting energy consumption in directed energy deposition using incremental learning-integrated transfer learning

Metal additive manufacturing (AM) processes are often energy-intensive because of the use of high-energy heat sources. Predicting energy consumption accurately is critical for optimizing AM process ...
Semiconductor Engineering

Fabs Begin Ramping Up Machine Learning

Fabs are beginning to deploy machine learning models to drill deep into complex processes, leveraging both vast compute power and significant advances in ML. All of this is necessary as dimensions ...
Digi Times

Column: Quantum boost for chip R&D

Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises when machine learning models handle data with many features. This issue is ...
Drexel University

Master’s (MS) in Machine Learning and Artificial Intelligence

Who is the Master's in Artificial Intelligence and Machine Learning program for? The Drexel School of Computer and Information Sciences' Master of Science in Artificial Intelligence and Machine ...