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Super Data Science: ML & AI Podcast with Jon Krohn

Podcast Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Scie...
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5 sur 837
  • 836: How to Become Happier, with Dr. Nat Ware
    Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections. Additional materials: www.superdatascience.com/836 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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    31:22
  • 835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
    AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:55) How You.com’s “do engine” approach connects users to multiple language models (11:34) How AI systems at You.com generate optimized, intent-driven queries for better results (28:39) You.com’s focus on automated workflows sets it apart from other platforms (31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025 (41:49) Bryan’s path to unified AI models that can perform diverse tasks (50:40) Early experiments with alignment in AI that influenced modern transformers (01:04:45) Bryan’s research on controllable text generation (01:11:27) Language models applied to protein generation, linking text and biology sequences Additional materials: www.superdatascience.com/835
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    1:33:04
  • 834: In Case You Missed It in October 2024
    Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.   Additional materials: www.superdatascience.com/834 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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    44:59
  • 833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
    Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP. This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (04:25) What Evolution AI does  (11:41) How to maintain accuracy in large infrastructures (21:22) How to cultivate innovation and creativity while meeting market demands (24:27) Potential knowledge gaps for machine learning practitioners (30:57) Martin’s viral article, “Ten Ways Your Data Project is Going to Fail” (59:54) Strategies for the UK to become a key player in AI Additional materials: www.superdatascience.com/833
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    1:25:25
  • 832: The Anthropic CEO’s Techno-Utopia
    Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay Machines of Loving Grace, where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society. Additional materials: www.superdatascience.com/832 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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    8:43

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