Manufacturing IT, MES
Courtesy: Chris Vavra, CFE Media
Manufacturing IT, MES May 19, 2019

Framework improves continual learning for artificial intelligence

North Carolina State researchers have developed a framework for deep neural networks that allows artificial intelligence (AI) systems to become better at performing previous tasks by learning from its prior actions.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media
Manufacturing IT, MES May 10, 2019

Researchers receive grant to research data mining for software decision making

Texas A&M University researchers have been awarded a National Science Foundation (NSF) grant to research data mining to optimize decision making in the software brain.

By Savanna Hoover
Analytics together with connectivity allow for smarter IoT-enabled factories and products, which is vital for the fourth Industrial Revolution and for future changes in manufacturing. Courtesy: CFE Media, IoTCo
Manufacturing IT, MES May 8, 2019

IIoT series, Part 1: Five ways to use cloud and IIoT to improve productivity: Your questions answered

Webcast presenters Alan Griffiths and Mohamed (Mo) Abuali, Ph.D. answered additional questions about topics such as augmented reality, 5G technology, and predictive analytics.

By Alan Griffiths, Mohamed (Mo) Abuali
Apple CEO Tim Cook (left) and SAP CEO Bill McDermott discuss an expanded collaboration between the two companies around enterprise resource management. Image courtesy: SAP
Manufacturing IT, MES May 7, 2019

Apple, SAP to expand enterprise partnership

CEOs Tim Cook, Bill McDermott discuss move to Mac functionality, data security.

By Bob Vavra
Courtesy: Chris Vavra, CFE Media
Manufacturing IT, MES May 7, 2019

Technique developed to reduce training time for deep learning networks

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks without sacrificing accuracy.

By Matt Shipman
Rice University researchers used a microstructure model of radiation-damaged hexagonal boron nitride to help them study the benefits of deep learning techniques in simulating two-dimensional materials to understand their characteristics. Courtesy: Prabhas Hundi, Rice University
Manufacturing IT, MES May 4, 2019

Deep learning helps researchers understand new 2-D materials being discovered

Rice University engineers have developed faster techniques to model atom-flat materials for bottom-up design.

By Mike Williams
Courtesy: CFE Media
Manufacturing IT, MES May 1, 2019

ERP questions and considerations for process manufacturers

Process manufacturers face many challenges when choosing enterprise resource planning (ERP) software due to many challenges with codes and standards and constant maintenance.

By Ultra Consultants
Figure 2: Time-series databases are experiencing explosive growth because they efficiently can store and provide access to large volumes of data. Courtesy: DB-Engines.com
Manufacturing IT, MES April 27, 2019

The data historian’s history told

Momentum around time-series data storage suggests a new chapter for a legacy offering.

By Michael Risse
A novel technique developed by MIT researchers compresses “objects” in memory for the first time, freeing up more memory used by computers, allowing them to run faster and perform more tasks simultaneously. Courtesy: Christine Daniloff, MIT
Manufacturing IT, MES April 17, 2019

Data-compression technique developed for faster computer programs

A technique developed by MIT researchers frees up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.

By Rob Matheson
The standard way to test new battery designs is time-consuming and expensive. A new research method from Stanford University, MIT, and the Toyota Research Institute aims to change that. Image courtesy: Chris Vavra, CFE Media
Manufacturing IT, MES April 11, 2019

Artificial intelligence used to accurately predict battery life

Researchers have developed a battery testing technique that could help bring new designs to the market more quickly and enable more efficient batteries for electric vehicles and other applications.

By Mark Golden