Industrial PCs

Courtesy: Massachusetts Institute of Technology
Industrial PCs May 23, 2019

Agreement signed to develop AI accelerator for prototyping and research

The MIT-Air Force AI Accelerator, will conduct fundamental research directed at rapid deployment of artificial intelligence (AI) innovations in operations, data management, cybersecurity, and vehicle safety.

By Rob Matheson
Courtesy: Chris Vavra, CFE Media
Industrial PCs May 19, 2019

Framework improves continual learning for artificial intelligence

North Carolina State researchers have developed a framework for deep neural networks that allows artificial intelligence (AI) systems to become better at performing previous tasks by learning from its prior actions.

By Matt Shipman
Courtesy: CFE Media
Industrial PCs May 16, 2019

Benefits of FPGAs and GPUs in embedded vision image processing

While embedded vision is still an emerging technology, to date there are typically two main types of processors used in embedded systems – field programmable gate arrays (FPGAs) and graphics processing units (GPUs).

By AIA
Courtesy: Chris Vavra, CFE Media
Industrial PCs May 10, 2019

Researchers receive grant to research data mining for software decision making

Texas A&M University researchers have been awarded a National Science Foundation (NSF) grant to research data mining to optimize decision making in the software brain.

By Savanna Hoover
Courtesy: Open Eye Consortium
Industrial PCs May 8, 2019

Multi-source agreement formed to target high-speed optical connectivity applications

The Open Eye Consortium announced the establishment of its multi-source agreement (MSA) outlining its mission to standardize advanced specifications for lower latency.

By Open Eye Consortium
Analytics together with connectivity allow for smarter IoT-enabled factories and products, which is vital for the fourth Industrial Revolution and for future changes in manufacturing. Courtesy: CFE Media, IoTCo
Industrial PCs May 8, 2019

IIoT series, Part 1: Five ways to use cloud and IIoT to improve productivity: Your questions answered

Webcast presenters Alan Griffiths and Mohamed (Mo) Abuali, Ph.D. answered additional questions about topics such as augmented reality, 5G technology, and predictive analytics.

By Alan Griffiths, Mohamed (Mo) Abuali
A novel technique developed by MIT researchers compresses “objects” in memory for the first time, freeing up more memory used by computers, allowing them to run faster and perform more tasks simultaneously. Courtesy: Christine Daniloff, MIT
Industrial PCs April 17, 2019

Data-compression technique developed for faster computer programs

A technique developed by MIT researchers frees up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.

By Rob Matheson
MIT researchers’ modified flash storage drives hold promise to cut in half the energy and physical space required to store and manage user data in power-hungry data centers. Courtesy: Chris Vavra, CFE Media
Industrial PCs April 3, 2019

Researchers develop architecture to reduce data center energy and space constraints

MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.

By Rob Matheson
Edge computing simplifies an infrastructure by mapping once at the edge and delivering data in a more efficient way, with message queuing telemetry transport (MQTT). Courtesy: Inductive Automation
Industrial PCs April 1, 2019

Control Engineering hot topics, March 2019

Control Engineering's most clicked articles in March 2019 included stories about the Engineers' Choice Awards, edge computing advantages, manufacturing and process facility trends, Big Data analysis, and more. Miss something? You can catch up here.

By Chris Vavra
Industrial PCs March 21, 2019

Supercomputer developed to explore science and engineering breakthroughs

Argonne National Laboratory’s exascale computer, Aurora, will launch in 2021 and will support machine learning and data science workloads alongside traditional modeling and simulation workloads.

By Argonne National Laboratory