Building large-scale, real-time computer vision applications

The Data Exchange Podcast: Reza Zadeh on use cases, adversarial attacks, deepfakes, fairness, privacy, and security.


SubscribeiTunesAndroidSpotifyStitcherGoogle, and RSS.

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.

Scalable Machine Learning, Scalable Python, for everyone: join us at the first Ray Summit in San Francisco (May 27-28).

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 ]

 

Related content:

[Image by Johannes Plenio from Pixabay]