The Gradient
The Gradient: Perspectives on AI
Daniel Situnayake: AI on the Edge
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Daniel Situnayake: AI on the Edge

On bringing machine learning to everyday life and the opportunities and challenges for ML + edge devices.

In episode 67 of The Gradient Podcast, Daniel Bashir speaks to Daniel Situnayake.

Daniel is head of Machine Learning at Edge Impulse. He is co-author of the O’Reilly books "AI at the Edge" and "TinyML". Previously, he’s worked on the Tensorflow Lite team at Google AI and co-founded Tiny Farms, an insect farming company. Daniel has also lectured in AIDC technologies at Birmingham City University.

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Outline:

  • (00:00) Intro

  • (1:40) Daniel S Origin Story: computer networking, RFID/barcoding, earlier jobs, Tiny Farms, Tensorflow Lite, writing on TinyML, and Edge Impulse

  • (15:30) Edge AI and questions of embodiment/intelligence in AI

  • (21:00) The role of hardware, other constraints in edge AI

  • (25:00) Definitions of intelligence

  • (29:45) What is edge AI?

  • (37:30) The spectrum of edge devices

  • (43:45) Innovations in edge AI (architecture, frameworks/toolchains, quantization)

  • (53:45) Model compression tradeoffs in edge

  • (1:00:30) Federated learning and challenges

  • (1:09:00) Intro to Edge Impulse

  • (1:20:30) Feature engineering for edge systems, fairness considerations

  • (1:25:50) Edge AI and axes in AI (large/small, ethereal/embodied)

  • (1:37:00) Daniel and Daniel go off the rails on panpsychism

  • (1:54:20) Daniel’s advice for aspiring AI practitioners

  • (1:57:20) Outro

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The Gradient
The Gradient: Perspectives on AI
Deeply researched, technical interviews with experts thinking about AI and technology.