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Join host Ashley Oldacre and guest Sachin Kotwani, Google’s On-Device ML Lead for a second special Google I/O episode. This interview dives deep into the world of Edge AI. Learn about the value, advantages and the future of on-device AI, and how it’s already making waves through initiatives like Project Game Face, and much more.
Chapters:
0:00 – Introduction
1:30 – Intro to Sachin
03:25 – Journey into tech
08:13 – Transition into AI
09:58 – Bridging interests into a career
12:21 – What is special about Google I/O?
15:02 – Benefits of On-Device ML
17:50 – The potential for On-Device ML
23:20 – Unlocking accessibility and cool usecases
31:38 – Does On-Device ML deepen or weaken human connection?
36:26 – What launched at Google I/O?
Resources:
Andrew Ng’s DeepLearning.AI course → https://goo.gle/3xS1Z3j
ML Kit → https://goo.gle/3XIwqne
Sachin on Google AI Edge at Google I/O → https://goo.gle/3VMC3hE
Google AI Edge website → https://goo.gle/3xuSmHW
Project Gameface → https://goo.gle/4cBeLlE
AI Edge Torch → https://goo.gle/3XMsule
LLM On-Device with MediaPipe and TensorFlow Lite → https://goo.gle/3La0KQa
Model Explorer → https://goo.gle/3RRqapE
Watch more People of AI → https://goo.gle/PAI
Subscribe to Google for Developers → https://goo.gle/developers
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