Generative AI for Unlocking the Complexity of Cells

Overview

Discover the groundbreaking potential of generative AI in the field of cellular biology in this exclusive talk by Maria Brbic from EPFL. Part of the prestigious Eric and Wendy Schmidt Center Symposium, this presentation delves into how AI technologies can demystify the intricate complexities of cells.

Don't miss this opportunity to enhance your understanding and explore innovative AI applications, now available for viewing on YouTube.

Syllabus

• Introduction to Cellular Complexity
Overview of cellular biology and the complexity of cells
Importance of understanding cellular mechanisms
• Fundamentals of Generative AI
Overview of generative models (e.g., GANs, VAEs, diffusion models)
Key concepts in machine learning and AI relevant to biology
• Generative AI in Biological Research
Case studies of generative AI applications in biology
Benefits and limitations of using AI to model biological processes
• Techniques for Modeling Cellular Processes
Approaches to simulating cellular dynamics
AI-driven predictions of cellular behavior
• Latest Advances in AI for Cellular Understanding
Recent breakthroughs and ongoing research
Notable tools and platforms for generative biology
• Applications and Implications
Use cases of generative AI in drug discovery and genomics
Ethical considerations in AI and biology
• Future Directions in AI and Cellular Biology
Emerging trends and technologies
Opportunities for interdisciplinary collaboration
• Q&A and Discussion Session
Interactive session to address specific questions
Discussing potential projects and collaborations

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Subjects

Computer Science