Keynote

on YouTube ↗23m

" summary

Overview of concrete launches and demos: announces MediaPipe Studio and high-level MediaPipe tasks for low-code mobile and web ML, a forthcoming Kaggle mobile computation and sign-language dataset, and the compiler-focused OpenXLA collaboration to optimize TensorFlow/PyTorch/Jax models for GPUs and TPUs. A new TensorFlow recommenders developer hub and a live demo of Simple ML for Sheets predicting penguin species from bill and flipper measurements with high-confidence scores show working end-to-end flows and practical deployment options.

AI-written summary · about

" chapters (4)

1. 0:00Introduction
2. 2:39Sharvani Roy
3. 11:09Lawrence Yun
4. 14:59Dominique Dominique

" related talks

• 36mKeynote! The opportunity for Android devs with AI and MLLaurence Moroney · droidcon Italy 2022
• 01h 03mOpening KeynoteFrancis Ma, Ian Barber, Kristen Johnson, Derek Phillips, Megha Bangalore, Sachin Kotwani, Mai Lowe, Shobhit Chugh, Rob DiMarco, Jumana Al Hashal, Injong Rhee · Firebase Summit 2018
• 16mKeynote: An Open-Source Stack for AI Compute: Kubernetes + Ray + PyTorch + vLLMRobert Nishihara · Open Source Summit North America 2025
• 16mKeynote: Building ML Systems Foundations at the Age of AITianqi Chen · AI Infra Summit at PyTorch Conference 2025
• 22mKeynote: Kubeflow ML on KubernetesDavid Aronchick, Vishnu Kannan · KubeCon + CloudNativeCon Europe 2018
• 15mKeynote: Empowering Accessibility Through Kubernetes: The Future of Real-Time Sign Language InterpretationRob Koch · KubeCon + CloudNativeCon Europe 2025
• 02h 16mKeynote Day 2 - FullHannes Mühleisen, Matei Zaharia, Ali Ghodsi, Yejin Choi, Zeashan Pappa, Ryan Blue, Darshana Sivakumar, Reynold Xin, Alexander Booth, Tareef Kawaf, Bilal Aslam · Data + AI Summit 2024
• 16mKeynote: Accelerating AI/ML Development with Open Source SoftwareBrian E. Granger · AI.dev: Open Source GenAI & ML Summit North America 2023