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:
Podkasten Contributor er innebygd på denne siden fra en åpen RSS feed. Alle filer, beskrivelser, illustrasjoner og andre metadata fra RSS-feeden tilhører podcasteieren og er ikke tilknyttet eller validert av Podplay.