A photo of the sensing model created at Purdue that works with ML for applications like e-cars and home design. Sensing Technology Could Improve Machine Learning Precision for Manufacturing, Electric Vehicles, Smart Homes
Purdue University News
Chris Adam
December 11, 2019
Purdue University researchers have developed a sensor that tracks electrical current, which could be used with machine learning to track currents in applications ranging from electric cars to manufacturing and home design. The device can transmit the current data it captures to any computing system via Bluetooth, USB, or other techniques. The researchers used a machine learning algorithm with the sensor to help it gather and interpret energy data. Purdue's Byunghoo Jung said, "This sensor could be used with machine learning to train manufacturing robots, provide precise tips for homeowners on cutting down their energy usage, or help diagnose issues with electric vehicles and scooters."... "
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