June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

All sessions
Robotics & World ModelsSponsor Session

Why Large? Tiny LMs & Agents on Edge/Robotics

Cormac Brick

When
Wednesday, July 12:50 PM – 3:10 PM · 20 min
Where
Track 2San Francisco, CA · imported from ai.engineer's public schedule feed
Google Calendar

About this session

big models get a lot of press. small model scale much better. RAM is expensive. The real world needs tiny models for scale on the edge. This workshop will cover how to combine both for mobile and robotics deployment. specifically covering: - skills are different on mobile - tiny LLMs <1B scale much further on mobile/web - how to fine tune and train tiny models. - skills on robotics / edge/ mobile - latest open models for edge (including gemma, qwen, and anything else that happens in next 10 weeks) This talk will focus on open models, including some gemma variants that will be shortly announced.

Speaker

Cormac Brick
Cormac Brick

Principal Engineer, Google AI Edge, Google

Principal Engineer at Google working on edge AI. Lead on the Google AI Edge team and contributes to Gemma Model development. An early pioneer in Edge AI, his industry background includes leading Intel’s first laptop NPUs, as well as demonstrating edge AI on a USB key way back in NeurIPS 2016. These days he is technical lead for a team that drives multiple open source projects (Google AI Edge Gallery, LiteRT-LM, LiterRT, Xnnpack, Mediapipe) that enable Edge AI for billions of users.

More in Robotics & World Models