Edge Computing, Embedded Systems
Researchers use simulated environments to train AI
University of Missouri engineers are hoping to enhance artificial intelligence (AI) by using simulated environments.
Avoiding shortcut solutions in artificial intelligence
A method developed by MIT researchers forces a machine-learning model to focus on more data when learning a task, which leads to more reliable predictions.
Smartwatch-based algorithm detects early signs of viral infections
Purdue University and physIQ announced the co-development of a viral detection algorithm for smartwatches, which can be used to detect COVID-19 and more.
Creating an artificial material that can sense, adapt to environment
University of Missouri engineers are collaborating with researchers at University of Chicago to design the material
Manufacturers leveraging AR/VR for training, production and more
Augmented and virtual reality (AR/VR) are being increasingly used by manufacturers and are incorporating them into their overall strategy according to a GridRaster study.
Digital twin group signs two liaison agreements
The Digital Twin Consortium is developing AI and IoT enabling technologies and propelling them across manufacturing.
Manufacturer, university collaborating on extended reality, IIoT projects
Bosch announced a collaboration with Carnegie Mellon University (CMU) to further research in spatial computing to design and demonstrate an architecture for extended reality (XR) applications in the Industrial Internet of Things (IIoT) context.
Machine learning can lead to cleaner water
A Louisiana State University-Penn State research team is using machine learning (ML) to developer a smarter approach to ionic separations which could improve water treatment, resource recovery and energy production.
Two schools receive NSF funding for AI research
Indiana University will be a principal organization in two new National Science Foundation Artificial Intelligence Research Institutes.
AI, controls and the future of maintenance
Artificial intelligence (AI) techniques are helping control and maintenance effectiveness, and an application demonstration shows how process simulation and machine teaching builds AI-based controllers to resolve industry problems, as shown in an Oct. 21 Virtual Training Week course.
