Industrial PCs
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.
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
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.
PC control redefines intralogistics distribution center efficiency
How to move 67,000 garment shuttles, boost efficiency and communicate through EtherCAT
Rapid testing production lines adapt to combat COVID-19 using PC control
Ginolis Ltd. in Qulunsalo, Finland, has converted existing rapid testing equipment lines to produce COVID-19 testing kits using automation technology and PC control.
Graphene twists could help engineer quantum computing devices
Results from MIT research could help designers engineer high-temperature superconductors and quantum computing devices.
Automation meets edge computing
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.
Take remote monitoring to the edge
Advanced edge controllers enable remote monitoring techniques to supplement standard industrial automation practices
For MQTT, the time is now
MQTT is an open network protocol that moves messages between devices and machines over TCP/IP
Machine-learning tool predicts code’s speed on computer chips
MIT researchers have invented a machine-learning tool called Ithemal, which predicts how fast computer chips will execute code from various applications. Â