Edge Computing, Embedded Systems

Courtesy: Chris Vavra, CFE Media
Edge Computing, Embedded Systems June 5, 2022

AI used to control process manufacturing operations

A project in Japan used artificial intelligence (AI) to autonomously control a chemical plant for 35 consecutive days.

By Suzanne Gill
Image courtesy: Brett Sayles
Edge Computing, Embedded Systems May 19, 2022

How unsupervised machine learning benefits industrial automation

Unsupervised ML is designed to act on unlabeled data using algorithms that excel at identifying patterns and pinpointing anomalies in data ranging from condition monitoring and performance testing to cybersecurity and asset management.

By Kristin Lewotsky
Courtesy: Massachusetts Institute of Technology
Edge Computing, Embedded Systems May 9, 2022

Improving motion capture with neural networks

A neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.

By Lauren Hinkel
USC Viterbi researchers have created a new machine learning model to investigate how light polarizes materials like lead titanate into a vortex-shaped polarization pattern that vastly improves the material's energy-efficient properties.
Edge Computing, Embedded Systems April 16, 2022

Creating energy-efficient electronics using machine learning

USC Viterbi researchers have developed a neural network that can model a high-performing new material using machine learning (ML) techniques.

By Greta Harrison
Edge Computing, Embedded Systems April 15, 2022

Self-driving lab used to improve nanocrystal understanding

Researchers have developed and demonstrated a ‘self-driving lab’ that uses AI and fluidic systems to advance understanding of metal halide perovskite (MHP) nanocrystals, which could be used to improve many different materials.

By Matt Shipman
A researcher helping a participant put on the fully wearable multimodal knee brace for collection of physiological data to assess knee health. This multimodal knee brace will be used to detect inflammation levels as well as disease activity levels for patients with rheumatoid arthritis. (Photo credit: John Berkebile, Georgia Tech)
Edge Computing, Embedded Systems March 30, 2022

Collaboration on research projects for edge computing, internet and more

Georgia Tech Technology is pursuing 30 quick-turn research projects that touch on key priority areas such as internet for the future, capabilities at the edge, and optimized application experiences.

By Anne Wainscott-Sargent
Courtesy: Brett Sayles
Edge Computing, Embedded Systems February 24, 2022

AIoT improves transparency, quality for manufacturers

The speed of adoption and the potential benefits of combined artificial Intelligence (AI) and Internet of Things (IoT) technologies in the industrial sector could lead to many positive benefits.

By Suzanne Gill
Edge Computing, Embedded Systems February 23, 2022

Product advice: Building IIoT with edge I/O systems

Secure, granular data processing, connectivity, and communication in the field create a foundation for large-scale IIoT according to a company with a Control Engineering Engineers’ Choice Award product.

By Josh Eastburn
Courtesy: Stratus
Edge Computing, Embedded Systems February 20, 2022

Zero-touch, secure and highly automated edge computing platform

When considering industrial edge computing, look for a zero-touch, secure and automated platform, designed and built for edge environments. Seek self-protecting and self-monitoring features and built-in application virtualization with fault tolerance, according to a company with a Control Engineering Engineers’ Choice Award product.

By DoShik Wood
Image courtesy: Brett Sayles
Edge Computing, Embedded Systems February 12, 2022

Technique makes federated learning easier for AI in wireless devices

A technique developed by North Carolina State University researchers uses compression to drastically reduce the size of data transmissions, creating additional opportunities for artificial intelligence (AI) training on wireless technologies.

By Matt Shipman