Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

FromSuper Data Science: ML & AI Podcast with Jon Krohn


812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
12 minutes
Released:
Aug 23, 2024
Format:
Podcast episode

Description

In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.

Additional materials: www.superdatascience.com/812

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
Released:
Aug 23, 2024
Format:
Podcast episode

Titles in the series (100)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.