In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Courses in this subarea cover both traditional model-based methods from image processing and current data-driven methods based on machine learning. Image Processing Image processing analyzes and ...

AI/ML tools allow for process monitoring to be simplified once data are generated at scale to relate process conditions to critical quality attributes.

The sensor also provides autonomous activation and automatic intermittent measurement. All of these features allow users to obtain the height and positional data on the X, Y and Z planes for detection ...

Embedded AI combines machine learning with edge devices for local, real-time intelligence.Courses range from beginner to ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

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.

Sensor fusion results in a heterogenous signal processing workload, as different sensors require different data types to represent the data, and different DSP algorithms to extract the information ...