Industrial PCs

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.

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.

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.

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.

Graphene twists could help engineer quantum computing devices

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

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.

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.

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.

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.

Edge computing terms and skills

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