NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget

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How AI is saving billions of years of human research time | Max Jaderberg 19:15

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Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience working on Isomorphic Labs' and Google DeepMind's AlphaFold 3 — an AI model for predicting the structure of molecules — Jaderberg explains how this new technology frees up researchers' time and resources to better understand the real, messy world and tackle the next frontiers of science, medicine and more. For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Interested in learning more about upcoming TED events? Follow these links: TEDNext: ted.com/futureyou TEDAI Vienna: ted.com/ai-vienna Hosted on Acast. See acast.com/privacy for more information.…

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NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It leverages CUDA and significantly enhances the performance of core Python frameworks including Polars, pandas, scikit-learn and NetworkX.

Chris Deotte is a Senior Data Scientist at NVIDIA and Jean-Francois Puget is the Director and a Distinguished Engineer at NVIDIA. Chris and Jean-Francois are also Kaggle Grandmasters, which is the highest rank a data scientist or machine learning practitioner can achieve on Kaggle, a competitive platform for data science challenges.

In this episode, they join the podcast with Sean Falconer to talk about Kaggle, GPU-acceleration for data science applications, where they’ve achieved the biggest performance gains, the unexpected challenges with tabular data, and much more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget appeared first on Software Engineering Daily.

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NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget

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Please click here to see the transcript of this episode.

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NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget