There is a historically unprecedented shift in demographics towards seniors, resulting in an acute shortage of senior housing. This is an enormous opportunity for real-estate operators.
A system operating in a real-world environment such as homes needs to perform reasoning with a variety of sensing modalities.
However, manually designing such features is extremely challenging. This work presents an algorithm to learn to embed point-cloud, natural language, and trajectory data into a shared embedding space using a deep neural network.
Distributed AI (D-AI) is enabling rapid progress on smart IoT systems, homes, and cities. D-AI refers to any AI system with discrete AI subsystems that can be combined to create ensemble-intelligences. We introduce a Privacy-Preserving IoT Cloud (PPIC) optimized to host D-AI applications on the edge.
COVID-19 has motivated an increase in how much people wash their hands and reduced the rate at which they touch physical surfaces without gloves. And after touching a solid surface, they disinfect it. Caspar.AI’s automation technology helps people avoid touching possibly infected surfaces (e.g., switch).
Covid has exposed just how vulnerable seniors are who live in nursing homes and assisted living facilities. Caspar.AI’s vision is to fundamentally change how seniors are in their homes and how assisted living facilities are run.
“The network is the computer.”
That’s the old Sun Microsystems slogan coined by Sun computer scientist and researcher John Gage. The slogan predated cloud computing, but it’s a great way to envision the cloud idea.
In 1995, I remember “building your own computer” was fashionable. My neighbor built one and he instantly became the most popular kid in the area.