Manufacturing IT, MES
Redefining the boundaries of automation
Production challenges do not wait on IT developments, and getting to the root of a problem does not always have to be rocket science, says George Walker.
Augmented reality tools: A digital bridge for the skill gap
Augmented reality (AR) is changing the way manufacturers work in the field. See three benefits of augmented reality and three examples of how AR helps users.
COVID-19 accelerates digital transformation
Industrial organizations are realizing digital transformation value during the COVID-19 pandemic. This includes rapid production changes, enterprise-wide connectivity, and a shift from proof of concept to proof of value for Industrial Internet of Things (IIoT) implementations.
Modernize electronic flow measurement with MQTT
MQTT is a publish/subscribe, extremely simple and lightweight messaging protocol
How to put digitalization to work
Digitalization applies software solutions that use data to improve or transform business processes; digital transformation can include many digitalization projects
Manufacturers looking to be more flexible, analytical in wake of COVID-19
A survey of German and U.S. manufacturers found many have been heavily impacted by the COVID-19 pandemic and are looking to become more flexible and more dependent on data, maintenance models.
Cyber-physical system developed to improve agriculture production
Researchers are developing a cyber-physical system (CPS) that improves agriculture production by constantly monitoring fields at near single-plant resolution, predicts productivity and helps farmers manage their water and fertilizer use.
Big Data can optimize COVID-19 testing
University of Michigan researchers are designing a cloud-based system that will analyze infection and testing supply chain data to better organize the logistics of COVID-19 testing.
Automated system developed to accelerate R&D, manufacturing of materials
North Carolina State and University of Buffalo researchers have developed Artificial Chemist, which is a technology that incorporates artificial intelligence (AI) and an automated system for performing chemical reactions to accelerate R&D and manufacturing of commercially desirable materials.
Engineers develop methods for AI bottlenecks with machine-learning algorithms
Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.