A critical obstacle – and great opportunity – to the financial viability of machine shops today is maximizing machine tool utilization. Currently, machine shop managers are often in the dark about how ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable. Agile development teams ...

Conservationists can now monitor climate impacts to expansive marine ecosystems over extended periods of time, a task that used to be impossible, using a tool developed by scientists in the U.S. The ...

Researchers have developed a stretchable strain sensor that has an unprecedented combination of sensitivity and range, allowing it to detect even minor changes in strain with greater range of motion ...

The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand ...

cnSEE Data Acquisition, under development by All World engineers, will enable factory monitoring from anywhere with data collection, analysis and visualizations. Compatible with various machines, ...

This enables users to predict when machinery is due for maintenance, and schedule the service accordingly. Equipment will be serviced when needed, and the necessary repair can be planned more ...

A new study presents a system-level design framework for a low-power embedded sensor node capable of performing machine learning inference directly on-site. Study: Low-Power Embedded Sensor Node for ...

For 100 years, GROB has been a globally active family-owned business engaged in the development and manufacture of equipment and machine tools. Its...READ MORE ...