# Edge Cases by AGI, Inc. #004 with Coleman Hooper @ UC Berkeley (BAIR)

- **When:** Thu, Nov 19, 2026, 5:30 PM PST – 8:00 PM PST
- **Where:** San Francisco
- **Price:** Free (approval required)
- **Organizer:** [Adam Awale](https://eventing.ing/organizers/orgz_1m7a7getf79pjxg7tzb5ah), [AGI Inc.](https://eventing.ing/organizers/orgz_1m0g9cwx1bejt3xd7va8x4), [C K](https://eventing.ing/organizers/orgz_1m0g9cwx1ahtagcgdeq6ne), [Div Garg](https://eventing.ing/organizers/orgz_1m0g9cwx13xk4vk32my5p9), [Jordan Ruppert](https://eventing.ing/organizers/orgz_1m0g9cwx13rg6r635af6ww), [Juliana C](https://eventing.ing/organizers/orgz_1m0g9cwx1f6mnc4y7hwect), [Naman Garg](https://eventing.ing/organizers/orgz_1m7a7geth6y3djz5yagrnt), [Steve Frey](https://eventing.ing/organizers/orgz_1m0g9cwx1fkeezg6trwjar)
- **Categories:** AI & ML
- **View on Luma:** https://luma.com/edge-cases-004

Edge Cases is AGI, Inc.'s invite-only research night on what it takes to run real intelligence on-device.

Speaker

Coleman Hooper, postdoctoral scholar at UC Berkeley (BAIR and SLICE Lab). PhD at Berkeley, advised by Kurt Keutzer and Sophia Shao. Works on AI systems, efficient LLM inference and hardware-software co-design for ML. LinkedIn

Talk

Efficient edge inference through parallel and looped generation

In the cloud, LLM inference batches across many users. On a…

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