Industrial PCs

MIT researchers have developed a deep learning-based algorithm to detect anomalies in time series data. Courtesy: MIT News
Sensors, Actuators December 21, 2020

Method finds hidden warning signals in collected measurements

A deep-learning algorithm has been developed that could provide advanced notice when systems — from satellites to data centers — are falling out of whack.

By Daniel Ackerman
Courtesy: Masssachusetts Institute of Technology (MIT)
Industrial PCs December 16, 2020

LED developed for direct integration into computer chips

Researchers have fabricated a silicon chip with fully integrated LEDs, bright enough to enable sensor and communication technologies, which could streamline manufacturing and also provide better performance for nanoscale electronics.

By Daniel Ackerman
Courtesy: Northwestern University
Industrial PCs November 20, 2020

Optimizing materials design with minimal data

A computational approach to accelerate the design of materials exhibiting metal-insulator transitions (MIT) has been developed and it could lead to faster microelectronics and quantum information systems

By Alex Gerage
Courtesy: Chris Vavra, CFE Media
AI and Machine Learning October 28, 2020

Quantum computing used to discover possible COVID-19 treatments

Quantum machine learning could help researchers discover faster and more economical ways of treating COVID-19 than the current methods used for drug discovery.

By Sarah Small
Stone Shi is executive editor-in-chief, Control Engineering China. Courtesy: Control Engineering China
Embedded Systems, Edge Computing October 4, 2020

Edge computing, artificial intelligence power automation innovation

Edge computing allows engineers to use lower costs to develop newer applications such as shop-floor data analysis and quality prediction. Artificial intelligence (AI) improves the efficiency and accuracy of plant operations.

By Stone Shi
Courtesy: ICONICS and RealWear Inc.
Mobility September 24, 2020

Advances in mobile devices

In automation, many software and hardware technologies have been developed that allow companies the means to remotely monitor and control business processes from anywhere, via any device, at any time

By Melissa Topp
Courtesy: CFE Media and Technology
AI and Machine Learning September 22, 2020

Data processing module makes deep neural networks smarter

Combining feature normalization and feature attention modules into a single module called attentive normalization (AN) improved deep neural networks' performance.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media
AI and Machine Learning September 16, 2020

Computational model developed for COVID-19 testing allocation

A computational model that can be used to identify the best allocation plans for distributing COVID-19 test kits to hospitals, clinics, and relevant state agencies has been developed by North Carolina State researchers.

By Matt Shipman
Courtesy: SDI Systems, Inc.
Industrial PCs September 14, 2020

PC control redefines intralogistics distribution center efficiency

How to move 67,000 garment shuttles, boost efficiency and communicate through EtherCAT

By James Figy
A Control Engineering editor for 33 years, Edward J. Kompass passed away at age 93 on Aug. 31, 2020, in his South Lincoln, Vt., home. He’s pictured here in the publication’s Barrington, Ill., office in the early 1980s. Courtesy: Julie Wilhm, Kompass’ youngest daughter
Business of Engineering September 10, 2020

Long-time Control Engineering editor, Edward J. Kompass, dies

Ed Kompass, a Control Engineering editor from 1954 to 1987, passed away on Aug. 31, 2020, at age 93. He was a regular contributor after retirement and last wrote a column for the 50th anniversary issue (linked below), “We never could have dreamed,” in 2004.

By Mark T. Hoske