Dmitriy Ryaboy on Deep Learning’s Quest to Decode Biology’s Mysteries.
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Dmitriy Ryaboy is the VP of AI Enablement at Ginkgo Bioworks, a startup that uses machine learning and AI to develop a wide range of applications. The conversation focuses on the intersection of AI, machine learning, and biology, particularly in the field of synthetic biology. It covers the practical applications of synthetic biology, such as therapeutics, materials, and agriculture, and delves into the types of data used, like DNA and RNA sequences. The discussion highlights the role of large language models (LLMs) in biology, especially in protein and DNA analysis, and explores the use of AI in designing experiments and handling complex data. Ethical considerations, biosecurity, and the future of AI in biology are also discussed, emphasizing the importance of regulatory frameworks and ethical oversight.
Interview highlights – key sections from the video version:
- Synthetic biology and its applications
- Applications of machine learning in synthetic biology
- LLMs and foundation models
- LLMs: early applications and use cases
- Risk mitigation
- Public LLMs (GPT, Llama, and beyond)
- Transitioning over to synthetic biology application of AI
- AlphaFold and its impact
- Landscape of domain-specific LLM providers: current state and trends
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- A video version of this conversation is available on our YouTube channel.
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