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Seattle AI, ML and Computer Vision Meetup - February 12, 2026
This event has ended, but you can still catch up! Watch the on-demand recordings and register for our future events.
Schedule
Build Reliable AI apps with Observability, Validations and Evaluations
Speaker: Hoc Phan, Okahu.ai
Bio: As generative AI moves from experimentation to enterprise deployment, reliability becomes critical. This session outlines a strategic approach to building robust AI apps using Monocle for observability and the VS Code Extension for diagnostics, and bug fixing. Discover how to create AI systems that are not only innovative but also predictable and trustworthy.
Resources
The World of World Models: How the New Generation of AI Is Reshaping Robotics and Autonomous Vehicles
Speaker: Dan Gural, Voxel51
Bio: World Models are emerging as the defining paradigm for the next decade of robotics and autonomous systems. Instead of depending on handcrafted perception stacks or rigid planning pipelines, modern world models learn a unified representation of an environment—geometry, dynamics, semantics, and agent behavior—and use that understanding to predict, plan, and act. This talk will break down why the field is shifting toward these holistic models, what new capabilities they unlock, and how they are already transforming AV and robotics research.
Resources
ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification
Speaker: Congjing Zhang, University of Washington
Bio: In the complex environments, the anomalies are sometimes highly contextual and also ambiguous, and thereby, uncertainty quantification (UQ) is a crucial capacity for a multi-modal LLM (MLLM)-based video anomaly detection (VAD) system to succeed. In this talk, I will introduce our UQ-supported MLLM-based VAD framework called ALARM. ALARM integrates UQ with quality-assurance techniques like reasoning chain, self-reflection, and MLLM ensemble for robust and accurate performance and is designed based on a rigorous probabilistic inference pipeline and computational process.
Resources
Modern Orchestration for Durable AI Pipelines and Agents - Flyte 2.0
Speaker: Sage Eliott, Union AI
Bio: In this talk we’ll discuss how the orchestration space is evolving with the current AI landscape, and provide a peak at Flyte 2.0, which makes truly dynamic, compute aware, and durable AI orchestration easy for any type of AI application, from computer vision, agents, and more!
Resources
Context Engineering for Video Intelligence: Beyond Model Scale to Real-World Impact
Speaker: James Le, TwelveLabs
Bio: Video streams combine vision, audio, time-series and semantics at a scale and complexity unlike text alone. At TwelveLabs, we’ve found that tackling this challenge doesn’t start with ever-bigger models — it starts with engineering the right context. In this session, we’ll walk engineers and infrastructure leads through how to build production-grade video AI by systematically designing what information the model receives, how it's selected, compressed, and isolated.
Resources
Location
Feb 12, 2026
5:30 - 8:30 PM
Union AI HQ
400 112th Ave NE #115
Bellevue, WA 98004, USA
Speakers
- Hoc Phan, Okahu.ai
- Dan Gural, Voxel51
- Congjing Zhang, University of Washington
- Sage Eliott, Union AI
- James Le, TwelveLabs
About this event
Join the Meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision.