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
Links:
Daniel Situnayake: AI on the Edge