Edge Computing, Embedded Systems
Scaling machine learning for the manufacturing masses
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.
Using a 3D digital twin and augmented reality
3D digital twins and augmented reality (AR) can help manufacturers better understand places that are often dangerous for a human to access.
Study finds manufacturers willing to implement data-driven and AI initiatives
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.
Artificial intelligence researchers receive Federal funding
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.
AI process optimization platform receives funding
Recent $30 million growth round led by Zeev Ventures and Insight Partners, with participation from Spider Capital and UpWest
On the edge: Smartening up sensors
Edge computing makes sensors smarter to use in many manufacturing applications. See five manufacturing use cases for edge processing and three edge computing benefits.
Researchers use Minecraft to advance AI programs, thinking
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.
Combating cognitive fatigue with collaborative robots
Humans and collaborative robots may be sharing some of the same goals and manufacturing spaces soon as autonomy and robot technology continue to advance.
Using AI to better understand alloys, metals
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.
How AI can predict electronics failure
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.
