Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.
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.
Ginolis Ltd. in Qulunsalo, Finland, has converted existing rapid testing equipment lines to produce COVID-19 testing kits using automation technology and PC control.
Purdue University engineers have created hardware that can learn skills using a type of AI currently running on software platforms.
Results from MIT research could help designers engineer high-temperature superconductors and quantum computing devices.
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.
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.
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.
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.
Six edge computing questions to ask about data collection, networking and control systems.