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:

Activeloop
Activeloop Hub
Apache Parquet
Apache Spark
TensorFlow
Snowflake
Databricks
Timescale

People mentioned:

Sebastian Seung (@SebastianSeung)

Other episodes:

TensorFlow with Rajat Monga

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