Advanced Lessons

Adobe's Forward Deployed PhDs: Making GenAI Work for the Enterprise

Fine-Tuning Wan 2.1 VACE to Swap Costumes

Automating Ad Campaign Tracking with Adobe GenStudio

Building an AI Mathematician [Carina Hong] - 754

OpenAI’s New AI Fixes Your Code

Strava transforms the athlete experience with Amazon Bedrock | Amazon Web Services

A team of researchers in the #Netherlands is working on reducing #nitrogen emissions from #cows.

From Building to Fine-Tuning: Coding Agents that Optimize AI Workflows

AI in the Wild | How Bundesliga Uses AWS AI to Transform Football Data | Amazon Web Services

Brie Larson & Courtney McBroom | Party People | Talks at Google

Historian Answers Native American Questions | Tech Support | WIRED

4x faster coding with AI? Meet Composer by Cursor

Sponsored Session: Lightning Talk: Accelerating Experimentation... - Niall Lyons & Luca Antiga

Our Journey With TorchTitan - Linsong Chu & Garrett Goon, IBM Research

Itaú Unibanco Scales Security with AWS Shield Advanced | Amazon Web Services

Genomcore impulsa la investigación biomédica con AWS e IA | Amazon Web Services

How do I upgrade or repair storage and network AWS drivers on an EC2 Windows instance?

How do I prevent read timeouts in Python when using large models in Amazon Bedrock?

Panel Discussion: The Future of Agents and Human-Agent Collaboration

Sponsored Session: Architecting AI: Efficient Models, Everywhere - Sharbani Roy, Arm

Generating State-of-the-Art GEMMs for Heterogeneous Hardware with... - Michael Lazos & Henry Tsang

Sponsored Session: Lightning Talk: Accelerated Software for a Post-Moore World - Jay Dawani

No GPU Left Behind: Scaling Online LLM Training With... - Mert Toslali & Yu Chin Fabian Lim

Lightning Talk: FlexCP: FlexAttention for Long Sequence Training... - Xilun Wu & Chien-Chin Huang

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic... - Yutaro Yamada

Lightning Talk: Flex Attention for Inference - Boyuan Feng & Driss Guessous, Meta

Sponsored Session: Amazingly Fast and Incredibly Scalable Inference... - Harry Kim & Laikh Tewari

Mapping the Open Model Landscape in 2025 - Nathan Lambert, Ai2

Thunder: Distribute and Optimize Your PyTorch Models With Zero... - Luca Antiga & Thomas Viehmann

The Four Pillars of Large-Scale Decentralized Pre-Training: Methods, Bottlenecks... - Bowen Peng

Panel Discussion: Are We Measuring Intelligence or Just Benchmarks?

Scaling an Open Environments Ecosystem for Reinforcement Learning - Will Brown, Prime Intellect

Accelerating Open-Source RL and Agentic Inference with vLLM - Michael Goin, Red Hat | vLLM

Panel Discussion: The AI Kernel... - Robert Lange, Simran Arora, Nathan Lambert, Mark Saroufim

Scaling Agentic Intelligence from Pre-Training to RL - Aakanksha Chowdery

The Future Is Tiled: Using CuTile & TileIR To Write Portable, High-performance GPU...- Jared Roesch

Keynote: Noam Brown, Research Scientist at OpenAI in Conversation with Joe Spisak, Meta

End-to-End Optimizing Multi-Turn RL and High-Performance Inference in Agents with... - Chenyang Zhao

Panel Discussion: Training and Inference at Planet Scale

Sponsored Session: Everything Everywhere all at Once: vLLM...- Brittany Rockwell & Shireen Kheradpey

Keynote: Olmo-Thinking: Training a Fully Open Reasoning Model - Nathan Lambert

Keynote: Jeremy Howard, Founding Researcher at fast.ai in Conversation with Anna Tong, Forbes

Keynote: PyTorch Technical Deep Dive - Alban Desmaison, Peng Wu, Mark Saroufim & Edward Yang, Meta

Keynote: The Physical Turing Test: Solving General Purpose Robotics - Jim Fan, NVIDIA

The Building Blocks of Today’s and Tomorrow’s Language Models - Sebastian Raschka, RAIR Lab

Keynote: Marin: An Open Lab for Frontier AI - Percy Liang, Together

Keynote Panel Discussion: Signal vs. Noise: Betting on AI’s Next Wave

Keynote Panel Discussion: Agentic AI - A. Dhinakaran, J. Liu, A. Jones, S. Colvin & B. Lorica