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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 →
ML Kit →
Sachin on Google AI Edge at Google I/O →
Google AI Edge website →
Project Gameface →
AI Edge Torch →
LLM On-Device with MediaPipe and TensorFlow Lite →
Model Explorer →
Watch more People of AI →
Subscribe to the TensorFlow channel →
#TensorFlow #PeopleofAI
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2024/07/08
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