The Global Automation and Manufacturing Summit (GAMS) event at IMTS 2018 highlighted the opportunities and pitfalls of the digital age with a focus on maintenance, the Industrial Internet of Things (IIoT), robotics, and cybersecurity in an information-rich age.
Digitalization benefits include speed to market, flexibility, efficiency, consistent quality, cybersecurity, and lower lifecycle costs.
Researchers at Stanford University have devised a new type of camera system that can classify images faster while being energy efficient by combining two types of computers that is designed specifically for image analysis.
Cover Story: Choosing cloud-based software or a combined approach with an on-site strategy may result in cost savings, improved operational efficiencies, and enhanced security.
MIT researchers have developed an encryption method that secures data used in online neural networks without dramatically slowing their runtimes, which could be useful for cloud-based neural networks and other applications that use sensitive data.
The Moxa Remote Connect Suite (MRC) is designed to be a more secure way to connect to remote machines and equipment for troubleshooting, data acquisition, and device management.
Augmented reality (VR) and virtual reality (VR) technologies are improving training programs in plant facilities and bridging the skills gap with more efficient training for the incoming workforce – training new workers at 30 to 40% more efficiently and reducing assembly time.
Adopting new technology such as virtual reality (VR) and augmented reality (AR) will help train younger employees faster without comprising safety on the plant floor.
MIT researchers are moving toward automating the molecule design process, which could drastically speed things up — and produce better results. Researchers are using machine learning, neural networks, tree decomposition, and a custom variational autoencoder.
The OpenFog Consortium’s OpenFog Reference Architecture for fog computing has been adopted as an official standard by the IEEE Standards Association (IEEE-SA) as a universal technical framework that enables the data-intensive requirements of the Internet of Things (IoT), 5G, and AI applications.