Machine vision users adopting cloud computing
Many companies are turning to cloud computing to handle the large data flows coming from their machine vision systems.
Gaining the edge in automation
Edge computing advances give users more options for architecting automation systems as well as flexible communication and programming choices.
Top 5 Control Engineering articles March 4-10
Articles about edge computing opportunities, the Engineers' Choice Awards, open architecture advantages, robotics 101, and manufacturing and process facility trends were Control Engineering’s five most clicked articles from March 4-10. Miss something? You can catch up here.
10 best practices for edge computing
When choosing, installing, and using an edge computing device for a manufacturing or process facility application, these 10 best practices can help.
Hardware capabilities impact edge computing success
Industrial PCs offer a range of processing capabilities, form factors, and certifications that engineers must consider when implementing edge computing strategies in new applications or legacy systems.
Edge computing for efficiency, quality
Edge devices streamline operations and offer many benefits including enhanced efficiencies and quality of service for industrial manufacturers.
Digitalization, Industrie 4.0, Industrial Internet of Things (IIoT) as market drivers
With the drive to digitalization, and trends such as Industrie 4.0, smart manufacturing, and the Industrial Internet of Things (IIoT), industries face challenges such as improving production flexibility and reducing changeover time between production runs.
Annual semiconductor sales hit highest mark since 2008
The SEMI Silicon Manufacturing Group (SMG) reported silicon wafer sales went over the $10 billion mark for the first time since 2008.
Modular panel PC
The Panel PC FLEX series from ICP Deutschland has a two-part modular design, which offers up to 48 different possibilities for users.
Energy-efficient memory developed to spur new computer applications
Researchers at Stanford University have developed spin-orbit torque technology designed for data-intensive computing applications like artificial intelligence and machine learning (ML).