Edge Computing, Embedded Systems
Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.
3D digital twins and augmented reality (AR) can help manufacturers better understand places that are often dangerous for a human to access.
A Purdue university survey found Indiana manufacturers are willing to use artificial intelligence (AI) and data-driven initiatives to improve their facilities, but actually getting there remains a hurdle for many.
The AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) and AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), will each receive a total of $20 million over five years from the National Science Foundation (NSF). See video.
Recent $30 million growth round led by Zeev Ventures and Insight Partners, with participation from Spider Capital and UpWest
Edge computing makes sensors smarter to use in many manufacturing applications. See five manufacturing use cases for edge processing and three edge computing benefits.
Penn State University researchers received a grant to develop the artificial intelligence (AI) of the player avatar in the popular video game "Minecraft" and make it smarter and able to plan.
Humans and collaborative robots may be sharing some of the same goals and manufacturing spaces soon as autonomy and robot technology continue to advance.
Researchers are using artificial intelligence (AI) and machine learning (ML) to help design high-performance steels that can be used in a variety of applications.
Engineers at CU Boulder have combined advanced computer simulations with artificial intelligence (AI) to try to predict how electronics, like the transistors in a cell phone, will fail.