Keynote: AI and the stuff built for AI -- are they actually useful for data science?
11-02, 09:10–09:45 (America/New_York), Central Park West (Room 6501)

Keynote by Soumith Chintala


Let's look at the trendy AI stuff: PyTorch, LLaMa, GPT, GPUs, CUDA, Diffusion, MidJourney, etc. Is any of this actually useful for data science and data engineering? That's the question we'll explore by going through a wild ride across several broad topics from education to efficiency to practicality.


Prior Knowledge Expected –

No previous knowledge expected

Soumith Chintala is an Engineer at Meta, where he works on high-performance Artificial Intelligence (AI). Soumith co-created PyTorch, a major scientific computing framework within the AI community. Soumith also holds a visiting research position at NYU, focusing on Robotics. Soumith focuses on high-performance computing, computer vision, generative AI and robotics.

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