Sensing the Smart Home

Peggy Smedley and Diane Cook, professor, Washington State University, talk about the data that can be acquired by sensors in our home and the CASAS Smart Home project. She says her background is designing machine learning techniques, which are computer programs that learn patterns from data. They also discuss: Three different areas of machine learning in the home. The difference between supervised learning and unsupervised learning. If smart home tech is readily available for consumers today or if it is still in the research phase. casas.wsu.edu  (3/15/23 - 48) IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, sustainability, future of work, podcast, Diane Cook, Washington State University