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Industrial PCs

Courtesy: Chris Vavra, CFE Media
AI and Machine Learning June 12, 2020

Engineers develop methods for AI bottlenecks with machine-learning algorithms

Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.

By Mike Williams
The new chip (top left) is patterned with tens of thousands of artificial synapses, or “memristors,” made with a silver-copper alloy. When each memristor is stimulated with a specific voltage corresponding to a pixel and shade in a gray-scale image (in this case, a Captain America shield), the new chip reproduced the same crisp image, more reliably than chips fabricated with memristors of different materials. Courtesy: Massachusetts Institute of Technology
AI and Machine Learning June 10, 2020

Engineers put thousands of artificial brain synapses on a single chip

MIT engineers have designed a brain-on-a-chip made from tens of thousands of artificial brain synapses known as memristors, which could enhance the develop of portable AI devices.

By Jennifer Chu
Industrial PCs June 8, 2020

Rapid testing production lines adapt to combat COVID-19 using PC control

Ginolis Ltd. in Qulunsalo, Finland, has converted existing rapid testing equipment lines to produce COVID-19 testing kits using automation technology and PC control.

By Beckhoff Automation
Courtesy: Qi Wang, Purdue University
AI and Machine Learning May 13, 2020

Hardware developed for improved artificial intelligence

Purdue University engineers have created hardware that can learn skills using a type of AI currently running on software platforms.

By Kayla Wiles
Courtesy of: MIT
Industrial PCs May 13, 2020

Graphene twists could help engineer quantum computing devices

Results from MIT research could help designers engineer high-temperature superconductors and quantum computing devices.

By Jennifer Chu
Siemens Industrial Edge devices and systems result in faster innovation, reduced time to market, and higher security compared to traditional devices and systems. Courtesy: Siemens Industry Inc.
IIoT, Industrie 4.0 May 3, 2020

Automation meets edge computing

Combining a scalable human-machine interface (HMI) system and supervisory control and data acquisition with additional edge functionality gives machine and plant designs a high degree of flexibility and adaptability to quickly react to changing market environments and maintain fast innovations cycles.

By Bernd Raithel
Courtesy of: Breen Machine Automation Services
Automation, Controls May 1, 2020

Know the differences among a PLC, PAC and IPC

A programmable logic controller (PLC), process automation controller (PAC) and industrial PC (IPC) have unique features and benefits, but those traits are blurring as technology becomes more sophisticated.

By Jon Breen
Courtesy: Siemens Industry Inc.
Discrete Manufacturing April 26, 2020

Compact, multi-tasking controllers yield big digitalization benefits

A multi-tasking controller combines functions of a PC-based software controller with visualization, PC applications (Microsoft Windows or Linux), and central input/output connections in one compact device advancing digitalization efforts and standard, open connectivity.

By Jim Wilmot
Courtesy: Massachusetts Institute of Technology
AI and Machine Learning April 24, 2020

Reducing AI’s carbon footprint

MIT researchers have developed an automated AI system for training and running certain neural networks that also cuts down the pounds of carbon emissions involved.

By Rob Matheson
Courtesy: MartinCSI
virtualization, Cloud, Analytics, Edge Computing April 2, 2020

Edge computing terms and skills

Six edge computing questions to ask about data collection, networking and control systems.

By Nate Kay, P.E.