John Rydning, research vice president at IDC, projects that sensor and machine data volumes will soar over the next five years, achieving a greater than 40% compound annual growth rate through 2027.

Networks For Machines: 'Smart Pipes' Today’s most extensive deployments of terrestrial networks aren’t sufficient to meet the needs for machines and sensors operating autonomously and in ...

But the point is that when the three of these are working together, we can create real value. That value comes from knowing that equipment and sensor level data is not only captured but is being ...

Vibration sensors monitor the performance of motors, pumps, and other rotating assets such as fans, compressors and gearboxes to catch maintenance issues before they cause machine failure resulting in ...

But this requires information. For composites, where does this data come from? Defining the measurements required to improve part quality and production, and the sensors required to achieve those ...

Integrating Omniverse Sensor RTX, the blueprint lets robotics developers simultaneously render sensor data from any type of intelligent machine in a factory for high-fidelity, large-scale sensor ...

AI, machine learning (ML) and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields and reduce food production costs. According to the ...

The idea is simple enough: just place a INA219 current sensor between the power supply and the microcontroller under observation, and record the resulting measurements as it goes about its business.

Journal Reference Luo W., Dai F., et al. (2025). Pulse-driven MEMS gas sensor combined with machine learning for selective gas identification. Microsystems & Nanoengineering 11, 72.

The sensor measures how much light is occluded, or rather how much makes it across, when an insect flies inside. That data is turned into audio and analyzed by machine learning algorithms in the ...