22Nov/22Off
Few-shot learning AI accurately ‘senses’ home appliances
NIALM (Non-Intrusive Appliance Load Monitoring) can "sense" appliances using electrical power. NIALM is used in homes and small buildings. For this, NIALM can require hundreds of labeled power signal images from each appliance type to train on. But there is a much faster and more cost-effective approach than "traditional" machine learning.
Researchers from the University of Johannesburg deployed Few Shot Learning (FSL) for NIALM. Classical FSL needs only 10 labeled, classified images to recognize appliances with very high accuracy. ...
See the full story https://techxplore.com/news/2022-11-few-shot-ai-accurately-home-appliances.html
