Edge Computing, Embedded Systems

Courtesy: CFE Media and Technology Virtual Training Week, Wood
AI and Machine Learning October 13, 2021

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.

By Mark T. Hoske
Courtesy: Kevin Field, Nuclear Oriented Materials and Examination Group, University of Michigan
AI and Machine Learning October 11, 2021

Augmented reality for testing nuclear components

A machine learning platform developed by University of Michigan researchers detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data.

By Sara Norman
Courtesy: Peter Galan, a retired control software engineer
Embedded Systems, Edge Computing October 4, 2021

Finite-state machine for embedded systems

Get help for finite-state machine programming for embedded systems using C programming language.

By Peter Galan
Courtesy: Kayla Wiles, Purdue University
AI and Machine Learning October 1, 2021

How sea slugs can create better artificial intelligence systems

Researchers have discovered quantum material for artificial intelligence (AI) systems could mimic basic forms of learning found in the sea slug, which could help create better hardware.

By Kayla Wiles
Courtesy: Micropsi Industries
AI and Machine Learning October 1, 2021

Robot control system for complex applications

The MIRAI controller enables robots more precise and complex performances

By Micropsi Industries
Courtesy: Seeq Corp.
AI and Machine Learning September 12, 2021

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.

By Allison Buenemann
Image courtesy: Brett Sayles
AI and Machine Learning September 11, 2021

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.

By Ralph Rio
Courtesy: Cincinnati Incorporated/Steve Rourke, CFE Media and Technology
AI and Machine Learning August 31, 2021

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.

By Brian Huchel
Image courtesy: Brett Sayles
AI and Machine Learning August 23, 2021

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.

By Chris Booker
Image courtesy: Brett Sayles
AI and Machine Learning August 18, 2021

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

By Imubit