Industrial PCs
Figure 3: Don’t integrate computers on the manufacturing floor without protection in mind. Courtesy: Armagard
Industrial PCs July 9, 2019

Tips for computer integration on the manufacturing floor

Installing computer systems can be an arduous process for new and existing manufacturing plants; basic best practices for enclosures can help companies avoid costly pitfalls and long-term challenges. See five tips for using computers on the plant floor.

By Daniel Waldron
Integrated safety can extend beyond I/O terminals and implement safety logic directly in servo drives and other components in the field. Courtesy: Beckhoff Automation
Industrial PCs July 2, 2019

Converging safety, non-safety systems increases scalability, flexibility

Integrating safety systems into a machine’s standard control platform simplifies operations, increases diagnostic capabilities and creates safer work environments for engineers and end users.

By Sree Swarna Gutta
Test driven development (TDD) postulates that for each step in development, only enough application code should be created to successfully complete a given test requirement. Courtesy: Avanceon
Industrial PCs June 25, 2019

Benefits of test driven development for automation applications

Test driven development (TDD) is potentially useful for automation applications by eliminating the separate task of creating requirements and specifications by incorporating requirements into the test protocols.

By Duane Grob
System-integrated motion design software promotes proactive machine design by making it easier to match motor and drive equipment to all mechanical machine components. Courtesy: Beckhoff Automation
Industrial PCs June 11, 2019

CNC technology developments help engineers cut corners in all the right ways

Cover Story: Automation technologies continue convergence across platforms and computer numerical control (CNC) technology advances, along with faster control hardware and software, allow engineers to complete more accurate cuts in less time.

By Matt Prellwitz
Courtesy: Chris Vavra, CFE Media
Industrial PCs May 29, 2019

Framework developed to help deep neural network performance

North Carolina State University researchers have developed AOGNets, a framework for building deep neural networks that uses a compositional grammar approach to extract useful information from raw data.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media
Industrial PCs May 24, 2019

Research examines computer software code understanding and documentation

A team of researchers at Texas A&M University looked at the best way to document computer code by using samples and found that good naming, and comment were more important than good documentation.

By Lorian Dusek
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).

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