Events
Technical talks and workshops with researchers and engineers from across the AI ecosystem.
Highlighted Events
- AI Research Summit 2026 AER LABS · Brian Chau
- Red Hat Meetup at Network School Red Hat · Network School
- PyTorch Meetup Singapore Red Hat Asia Pacific
- Ralphthon @ Singapore OpenAI
- Forest City — Claude Code for Entrepreneurs Anthropic · Network School
Seminars
Self-Supervised Reinforcement Learning and Patterns in Time
Benjamin Eysenbach — Assistant Professor, Princeton
Scalable Inference Algorithms for Large Language Models
Woomin Song — KAIST
Artificial Hivemind: The Open-Ended Homogeneity of Language Models
Liwei Jiang — NVIDIA
vLLM Compile Deep Dive
Ayush Satyam — PyTorch / vLLM Contributor
Instance-wise Understanding in Computer Vision
Pierre Musacchio — Seoul National University, VGI Lab
Determinism and Scalability in Post-Training RL Systems
Ethan Su — ex-AMD Research Scientist
OML: AI-native Cryptography for Open-Model Attribution and Control
Edoardo Contente — Sentient, AI Researcher
REFORM: Redefining Long-Context AI Inference
Woomin Song — KAIST PhD Student, NeurIPS 1st Author
NVIDIA Dynamo: High Performance Open Source Interface
William Arnold — NVIDIA, Senior DL Algo Engineer
Introduction of dstack: AI Container Orchestration for AI Teams
Andrey Cheptsov — dStack, CEO
Deep Dive: Embedding Model Inference in Production
Philip Kiely — Baseten, DevRel
Deep Dive: Optimizing Large-Scale RL with SGLang
Chenyang Zhao — ByteDance, SGLang Leader
Floating Point Non-Associativity in Machine Learning
Brian Chau — IOI Gold Medalist, Network School
Deep Dive: Edge AI & Hardware co-Design
Marco Gonzalez — Red Hat, Senior Engineer
Understanding High Throughput LLM Inference Systems
Ayush Satyam — Red Hat, Software Engineer