A deep-learning algorithm has been developed that could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
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.
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
Quantum machine learning could help researchers discover faster and more economical ways of treating COVID-19 than the current methods used for drug discovery.
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.
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
Combining feature normalization and feature attention modules into a single module called attentive normalization (AN) improved deep neural networks' performance.
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.
How to move 67,000 garment shuttles, boost efficiency and communicate through EtherCAT
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.