Developed by Cartesiam using NanoEdge AI Studio, the model gets data that a Zigabee wireless network collected. The variables collected include for example temperatures and humidities inside and outside, and windiness. Based on this data, the model is taught to classify the energy consumption of a household between five different classes.
Optimization 
Prediction 
Automation 
Internet of Things 
Computer Vision
Data Analytics
Health Diagnosis
Cognoa has had their application designed for helping doctors in diagnosing children with autism approved by the FDA. The …
Deep Learning