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Activeloop with Davit Buniatyan
Manage episode 325475070 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Eric Anderson (@ericmander) meets with Davit Buniatyan (@DBuniatyan) of Activeloop, the database for AI. Davit was inspired to found Activeloop while working on large datasets in a neuroscience research lab at Princeton. Powering the technology at Activeloop is Hub, the open-source dataset format for AI applications. Join us to learn how Hub promises to enhance and expand various verticals in deep learning.
In this episode we discuss:
- Reconfiguring traditional ML tooling for the cloud
- Connectomics - working with thin slices of a mouse brain with neuroscientist Sebastian Seung
- Choosing between university, a start-up, and open-source
- Davit’s original product, that ran computation on crypto mining GPUs on a distributed scale
- Focusing on different data modalities for computer vision
Links:
People mentioned:
- Sebastian Seung (@SebastianSeung)
Other episodes:
84 episodes
Share
Manage episode 325475070 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Eric Anderson (@ericmander) meets with Davit Buniatyan (@DBuniatyan) of Activeloop, the database for AI. Davit was inspired to found Activeloop while working on large datasets in a neuroscience research lab at Princeton. Powering the technology at Activeloop is Hub, the open-source dataset format for AI applications. Join us to learn how Hub promises to enhance and expand various verticals in deep learning.
In this episode we discuss:
- Reconfiguring traditional ML tooling for the cloud
- Connectomics - working with thin slices of a mouse brain with neuroscientist Sebastian Seung
- Choosing between university, a start-up, and open-source
- Davit’s original product, that ran computation on crypto mining GPUs on a distributed scale
- Focusing on different data modalities for computer vision
Links:
People mentioned:
- Sebastian Seung (@SebastianSeung)
Other episodes:
84 episodes
All episodes
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Similar to Contributor
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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continue reading
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
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…
continue reading
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…
continue reading
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