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Diagnostics, Asset Management

Artificial Chemist is an autonomous system designed to intelligently navigate through the chemical universe and develop useful materials for manufacturing applications. Courtesy: North Carolina State University
Robotics June 17, 2020

Automated system developed to accelerate R&D, manufacturing of materials

North Carolina State and University of Buffalo researchers have developed Artificial Chemist, which is a technology that incorporates artificial intelligence (AI) and an automated system for performing chemical reactions to accelerate R&D and manufacturing of commercially desirable materials.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media
AI and Machine Learning June 12, 2020

Engineers develop methods for AI bottlenecks with machine-learning algorithms

Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.

By Mike Williams
The new chip (top left) is patterned with tens of thousands of artificial synapses, or “memristors,” made with a silver-copper alloy. When each memristor is stimulated with a specific voltage corresponding to a pixel and shade in a gray-scale image (in this case, a Captain America shield), the new chip reproduced the same crisp image, more reliably than chips fabricated with memristors of different materials. Courtesy: Massachusetts Institute of Technology
AI and Machine Learning June 10, 2020

Engineers put thousands of artificial brain synapses on a single chip

MIT engineers have designed a brain-on-a-chip made from tens of thousands of artificial brain synapses known as memristors, which could enhance the develop of portable AI devices.

By Jennifer Chu
Courtesy: Industrial Internet Consortium (IIC)
Other Networks June 8, 2020

Five ways digital transformation metrics give manufacturers more flexibility

Digital transformation (DX) provides manufacturers with more flexibility and transform industrial processes and operations. See five ways metrics cover the DX solution lifecycle.

By Jacques Durand
Courtesy: Purdue University
AI and Machine Learning June 5, 2020

Cloud efficiency platform developed for databases

A Purdue University data science and machine learning professor has developed OPTIMUSCLOUD, which is designed to give cloud efficiency to organizations and users for data-intensive situations like the COVID-19 pandemic.

By Chris Adam
Courtesy: Litmus
IIoT, Industrie 4.0 May 7, 2020

Data flow is no longer hierarchical

Can industrial edge computing fit into the Purdue model?

By Vatsal Shah
Courtesy: Massachusetts Institute of Technology
AI and Machine Learning April 24, 2020

Reducing AI’s carbon footprint

MIT researchers have developed an automated AI system for training and running certain neural networks that also cuts down the pounds of carbon emissions involved.

By Rob Matheson
This figure shows the model prediction of the infected case count for the United States following its current model with quarantine control and the exponential explosion in the infected case count if the quarantine measures were relaxed. On the other hand, switching to stronger quarantine measures as implemented in Wuhan, Italy, and South Korea might lead to a plateau in the infected case count sooner. Courtesy: Massachusetts Institute of Technology (MIT)
AI and Machine Learning April 17, 2020

Machine learning model quantifies quarantine measures on COVID-19’s spread

A machine learning algorithm developed by MIT researchers combines data from COVID-19’s spread with a neural network to assess the impact of quarantine measures and predict when infections will slow down in each country.

By Mary Beth Gallagher
Remote Monitoring April 14, 2020

Remote monitoring and data visualization

Remote monitoring and data visualization are key to improving overall manufacturing efficiency.

By Jack Smith
Courtesy: MartinCSI
virtualization, Cloud, Analytics, Edge Computing April 2, 2020

Edge computing terms and skills

Six edge computing questions to ask about data collection, networking and control systems.

By Nate Kay, P.E.