Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, CTO at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in thisAI Podcastepisode recorded live at theNVIDIA GTCglobal AI conference. Lorenz explains Basecamp's systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.

Basecamp Research is a member of theNVIDIA Inceptionprogram for cutting-edge startups.

Stay tuned for more episodes recorded live at GTC, and hear more from Lorenz in thisGTC session.

The AI Podcast · Basecamp's Phil Lorenz on Combining AI With Biodiversity Data - Ep. 223
Time Stamps

1:31: What is Basecamp Research?
3:08: How does the process of sequencing biodiversity work?
5:15: What is the collected biodiversity data used for?
7:56: Gene editing and how biodiversity data can enhance it
9:00: How the development of AI has affected Basecamp's work
14:33: Basecamp's breakthroughs
16:49: AI and machine learning-related challenges Basecamp has encountered
26:02: Ethical considerations in data collecting

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Nvidia Corporation published this content on 15 May 2024 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 15 May 2024 13:15:14 UTC.