June 4, 2023, 11 a.m. | Super Data Science Podcast with Jon Krohn

Super Data Science Podcast with Jon Krohn www.youtube.com

From the "683: Contextual A.I. for Adapting to Adversaries" in which Matar Haller speaks to @JonKrohnLearns about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.

Watch, listen to, or read the full episode at https://www.superdatascience.com/683

blocking challenges contextual ai database edge information israel media multiple r&d

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Scientist

@ ITE Management | New York City, United States