717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Super Data Science: ML & AI Podcast with Jon Krohn
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Exploring Category Theory, Machine Learning Applications, and Cybersecurity Risks
Dr. Dan Shiebler's journey to earning a PhD in category theory and machine learning at Oxford University is discussed, focusing on using clustering to identify cybersecurity risks. The chapter covers manifold learning, embeddings, and their application in understanding characteristics and behaviors of entities like employees, IPs, and domains in cybersecurity. The conversation transitions to the potential impact of AI on urban planning, transportation, climate change, and various other fields, reflecting on the balance between technological advancements and societal structures.
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