The Data Exchange Podcast: Reza Zadeh on use cases, adversarial attacks, deepfakes, fairness, privacy, and security.
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In this episode of the Data Exchange I speak with Reza Zadeh, founder and CEO of Matroid, a startup focused on making computer vision applications easy to build and deploy. Reza is also an adjunct professor at Stanford.
This particular conversation spanned many topics pertaining to computer vision, including:
- Challenges in building large-scale, real-time computer vision applications.
- Robustness of computer vision applications (adversarial attacks, deepfakes).
- Impact of computer vision technologies on society: security, privacy and surveillance
- We also preview the upcoming 2020 edition of the ScaledML conference: Reza is the main organizer behind one of my favorite conferences in the SF Bay Area.
I want this to be more than just a podcast but a whole community to help people make better decisions. An essential component is getting listeners involved. I have ideas on how this community will grow but as a first step, I want to ask a question related to the main topic Reza and I discussed: computer vision. I’d love to have you weigh in by filling out the form below. I’ll report on results and key insights in a future episode of this podcast:
[Survey question can also be found here: https://bit.ly/2NSb2qb ]
- Reza Zadeh on “Scaling machine learning”
- Ameet Talwalkar on “How to train and deploy deep learning at scale”
- Andrew Feldman on how “Specialized hardware for deep learning will unleash innovation”
- “You’ll want Nexar’s newly released Live Map for your city”
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[Image by Johannes Plenio from Pixabay]
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