Events — AER LABS

Talks, workshops, and gatherings.

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
All events on Luma →

Seminars
Self-Supervised RL and Patterns in Time — Benjamin Eysenbach, Princeton
Scalable Inference Algorithms for LLMs — Woomin Song, KAIST
Artificial Hivemind: Open-Ended Homogeneity of LMs — Liwei Jiang, NVIDIA
vLLM Compile Deep Dive — Ayush Satyam, PyTorch/vLLM
Instance-wise Understanding in Computer Vision — Pierre Musacchio, SNU VGI Lab
Determinism and Scalability in Post-Training RL — Ethan Su, ex-AMD
OML: AI-native Cryptography for Open-Model Attribution — Edoardo Contente, Sentient
REFORM: Redefining Long-Context AI Inference — Woomin Song, KAIST
NVIDIA Dynamo: High Performance Open Source Interface — William Arnold, NVIDIA
dstack: AI Container Orchestration for AI Teams — Andrey Cheptsov, dstack CEO
Embedding Model Inference in Production — Philip Kiely, Baseten
Optimizing Large-Scale RL with SGLang — Chenyang Zhao, ByteDance
Floating Point Non-Associativity in ML — Brian Chau, Network School
Edge AI & Hardware Co-Design — Marco Gonzalez, Red Hat
Understanding High Throughput LLM Inference — Ayush Satyam, Red Hat

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