AI

Agents for production engineering

Alex Palcuie - Anthropic

AI Agents for data: get insights, not SQL

Claire Gouze - nao

AI and memory: A wall to cross!

Tejas Chopra - Netflix

AI needs its Unix moment

Rémi Louf - .txt

Architecting autonomous pipelines

Nnenna Ndukwe - Qodo AI

BAML: a new programming language for AI

Vaibhav Gupta

Clean code in Data Science

Gael Varoquaux - Skrub DataOps, Probabl:

Coding Agents

Katia Gil Guzman - OpenAI

LLMs as constrained generators

Fabien Potencier - Upsun

Optimize AI Energy

Bertrand Charpentier - Pruna AI

Reasoning VLM for Physical AI

Natalia Segal - NVIDIA

The Outer-Loop Era

Stanislas Polu - Dust

Why most AI agents fail (and how to fix it)

Viktoria Semaan - Databricks

AI OSS Stack Panel

vLLM + PyTorch + Kubernetes

Bringing AI to the Physical World

Chelsea Finn from Physical Intelligence

Building Cursor Composer

Sasha Rush

Jimmy Ba on Efficient Teams, AI Research, and What’s Next

Jimmy Ba

Physical AI Turing Test

Jim Fan from NVIDIA

Ray + Anyscale Announcements - RDMA, PyTorch Foundation, MLOps, Azure

The Shift to LLM Fine-Tuning with Thinking Machines

Devendra Chaplot

Vehicle Intelligence at Scale

Peter Ludwig from Applied Intuition

“Many-model” Time Series Forecasting: Scaling PyTorch Training Across 1000s...- V. Sridhar & S. Chen

A Stable Limited LibTorch ABI? How?! (and Why?)

Jane Xu, Meta

Accelerated Software for a Post-Moore World

Jay Dawani

Accelerating Experimentation...

Niall Lyons & Luca Antiga

Accelerating GenAI Inference: From AWS Deep Learning...

P. Nguyen & A. Zhao

Accelerating PyTorch FSDP Via Overlapping Collectives With In...

Nariaki Tateiwa

Addressing the Challenges of Public Web Data

Greg Lindahl, Common Crawl