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