MarketWatch, May 4, 2021. Caspar.AI uses the whole home as a sensor – already existing elements like sensors on switches and appliances. From automated control of lights, shades and temperature to more complex tasks such as fall detection, the Caspar system works without cameras and without “wearables” such as resident pendants.
Learning Transferrable Representations for Unsupervised Domain Adaptation. NeuRIPS, 2016.
In embodied AI applications such as smart homes, deep learning still suffers from generalization issues under the presence of a domain shift between the training and the test data distribution.
This paper incorporates the transductive target inference by jointly solving for an asymmetric similarity metric and the optimal transductive target label assignment.