Activeloop with Davit Buniatyan

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