In this week’s Fish Fry podcast, we start things off with a very special News You May Have Missed. In this segment, we take a closer look at how a team of researchers at the University of California San Diego School of Medicine (in collaboration with IBM) have identified a “lonely” speech pattern using machine-learning models that can be used to detect loneliness in older adults. We investigate how machine learning can help us unlock the mysteries of natural speech patterns and why this type of research may help us better understand a variety of psychological ailments. Also this week, Andrew Boushie (VP of Strategy & Partnerships – Ainstein) joins us to discuss the future of mm wave radar technology and the super cool stuff under the hood of their new over-the-door sensor called WAYV Air.
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Links for October 9, 2020
Prediction of Loneliness in Older Adults Using Natural Language Processing: Exploring Sex Differences in Speech (The American Journal of Geriatric Psychiatry)