Dave Selinger — AI and the Next Generation of Security Systems

Learn why traditional home security systems tend to fail and how Dave’s love of tinkering and deep learning are helping him and the team at Deep Sentinel avoid those same pitfalls. He also discusses the importance of combatting racial bias by designing race-agnostic systems and what their approach is to solving that problem. Dave Selinger is the co-founder and CEO of Deep Sentinel, an intelligent crime prediction and prevention system that stops crime before it happens using deep learning vision techniques. Prior to founding Deep Sentinel, Dave co-founded RichRelevance, an AI recommendation company. https://www.deepsentinel.com/ https://www.meetup.com/East-Bay-Tri-Valley-Machine-Learning-Meetup/ https://twitter.com/daveselinger Topics covered: 0:00 Sneak peek, smart vs dumb cameras, intro 0:59 What is Deep Sentinel, how does it work? 6:00 Hardware, edge devices 10:40 OpenCV Fork, tinkering 16:18 ML Meetup, Climbing the AI research ladder 20:36 Challenge of Safety critical applications 27:03 New models, re-training, exhibitionists and voyeurs 31:17 How do you prove your cameras are better? 34:24 Angel investing in AI companies 38:00 Social responsibility with data 43:33 Combatting bias with data systems 52:22 Biggest bottlenecks production Get our podcast on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/google-podcasts YouTube: http://wandb.me/youtube Soundcloud: http://wandb.me/soundcloud Read the transcript and discover more awesome machine learning material here: http://wandb.me/Dave-selinger-podcast Tune in to our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their research: http://wandb.me/salon Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning: http://wandb.me/slack Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices: https://wandb.ai/gallery

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Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.