A deep-learning algorithm has been developed that could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
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
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
Ginolis Ltd. in Qulunsalo, Finland, has converted existing rapid testing equipment lines to produce COVID-19 testing kits using automation technology and PC control.
Results from MIT research could help designers engineer high-temperature superconductors and quantum computing devices.
Combining a scalable human-machine interface (HMI) system and supervisory control and data acquisition with additional edge functionality gives machine and plant designs a high degree of flexibility and adaptability to quickly react to changing market environments and maintain fast innovations cycles.
Advanced edge controllers enable remote monitoring techniques to supplement standard industrial automation practices