Thomas Ezan
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Miguel Ramosonce
- Terence Zhangonce
who talks about the same things
- Miguel Ramos8 talks
- Terence Zhang8 talks
- Caren Chang14 talks
- Sa-ryong Kang3 talks
- Paul Ruiz10 talks
- Oli Gaymond3 talks
| title | conference | date |
|---|---|---|
| GenAI on Android with Gemini Nano and Firebase | droidcon New York 2025 | 2025-06-25 |
Compares on‑device Gemini Nano via ML Kit for four concrete APIs — summarize, proofread, rewrite, image description — noting it runs offline, currently… | ||
| Add Generative AI capabilities to your Android app | droidcon San Francisco 2024 | 2024-06-06 |
Gemini Nano runs on device via AI Core in Android 14 and targets small models for local GenAI, Gemini Nano (2–3B params), benefiting from LoRA fine‑tuning… | ||
| Hardware acceleration for on-device Machine Learning | Android Dev Summit 2022 | 2022-10-24 |
Hardware acceleration reduces on-device inference latency: examples show GPU delegate running BlazePose about 184% faster than CPU and MobileNet seeing up to… | ||
| Experimentation at scale: Fuel your application’s growth through A/B testing | Mobius 2020 Piter | 2020-06-22 |
Argues that fast build–measure–learn cycles come from disciplined A/B testing and feature flags, shows a runnable Android example using shared preferences and… | ||
| nothing matches | ||