Daniel Situnayake's guest appearances

Daniel Situnayake

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The Engineered-Mind Podcast | Engineering, AI & Technology

The Gradient: Perspectives on AI

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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.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (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) OutroLinks:* Daniel’s Twitter and blog* Edge Impulse Get full access to The Gradient at thegradientpub.substack.com/subscribe

In episode 67 of The Gradient Podcast, <a href="https://twitter.com/spaniel_bashir" rel="nofollow" target="_blank">Daniel Bashir</a> speaks to <a href="https://twitter.com/dansitu?s=20" rel="nofollow" target="_blank">Daniel Situnayake</a>. 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.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast:  <a href="https://podcasts.apple.com/us/podcast/the-gradient-podcast/id1569777340" rel="nofollow" target="_blank">Apple Podcasts</a>  | <a href="https://open.spotify.com/show/6onNcSqsP6hEEqmZ6TU2g8" rel="nofollow" target="_blank">Spotify</a> | <a href="https://pca.st/itunes/1569777340" rel="nofollow" target="_blank">Pocket Casts</a> | <a href="https://api.substack.com/feed/podcast/265424/s/1354/private/3bbc085c-7aa9-4037-8784-1575653a0438.rss" rel="nofollow" target="_blank">RSS</a>Follow The Gradient on <a href="https://twitter.com/gradientpub" rel="nofollow" target="_blank">Twitter</a>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) OutroLinks:* Daniel’s <a href="https://twitter.com/dansitu?s=20" rel="nofollow" target="_blank">Twitter</a> and <a href="https://situnayake.com/" rel="nofollow" target="_blank">blog</a>* <a href="https://www.edgeimpulse.com/" rel="nofollow" target="_blank">Edge Impulse</a> Get full access to The Gradient at <a href="https://thegradientpub.substack.com/subscribe?utm_medium=podcast&amp;utm_campaign=CTA_4" rel="nofollow" target="_blank">thegradientpub.substack.com/subscribe</a>

Daniel Situnayake: AI on the Edge

Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Daily.

<a href="https://i0.wp.com/softwareengineeringdaily.com/wp-content/uploads/2022/09/Daniel-Situnayake.png" rel="nofollow" target="_blank"></a>Today, we spoke with <a href="https://twitter.com/dansitu?lang=en" rel="nofollow" target="_blank">Daniel Situnayake</a> of <a href="https://edgeimpulse.com/" rel="nofollow" target="_blank">Edge Impulse</a>. We discussed AI, machine learning, edge devices, TinyML and AI tool chain. Sponsorship inquiries: <a href="mailto:sponsor@softwareengineeringdaily.com" rel="noopener noreferrer">sponsor@softwareengineeringdaily.com</a> The post <a href="https://softwareengineeringdaily.com/2022/09/30/edge-impulse-with-daniel-situnayake/" rel="nofollow" target="_blank">Edge Impulse with Daniel Situnayake</a> appeared first on <a href="https://softwareengineeringdaily.com" rel="nofollow" target="_blank">Software Engineering Daily</a>.

Edge Impulse with Daniel Situnayake

Daniel is a founder, an engineer, a teacher and a communicator. He currently works at Edge Impulse as Founding TinyML Engineer. He is a co-author of the great book published by O’Reilly called "TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers".   He previously worked at Google as a Developer Advocate for TensorFlow Lite, enabling developers to deploy machine learning to edge devices, from phones to SoCs and was also Developer Advocate for Dialogflow, a tool for building conversational AI. ————————————————————————————— 🧠 Free Science Community: community.sci-circle.com 👉 Science Academy: academy.jousefmurad.com 📥 Weekly free science insights newsletter: jousef.substack.com 🐤 Follow me on Twitter: @jousefm2 📷 Follow me on Instagram: @jousefmrd Feel free to support the podcast on Patreon: patreon.com/theengiineer

Daniel is a founder, an engineer, a teacher and a communicator. He currently works at Edge Impulse as Founding TinyML Engineer. He is a co-author of the great book published by O’Reilly called "TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers".   He previously worked at Google as a Developer Advocate for TensorFlow Lite, enabling developers to deploy machine learning to edge devices, from phones to SoCs and was also Developer Advocate for Dialogflow, a tool for building conversational AI. ————————————————————————————— 🧠 Free Science Community: <a href="http://community.sci-circle.com" rel="nofollow" target="_blank">community.sci-circle.com</a> 👉 Science Academy: <a href="http://academy.jousefmurad.com" rel="nofollow" target="_blank">academy.jousefmurad.com</a> 📥 Weekly free science insights newsletter: <a href="http://jousef.substack.com" rel="nofollow" target="_blank">jousef.substack.com</a> 🐤 Follow me on Twitter: @jousefm2 <a href="https://emojipedia.org/camera/" rel="nofollow" target="_blank">📷</a> Follow me on Instagram: @jousefmrd Feel free to support the podcast on Patreon: <a href="http://patreon.com/theengiineer" rel="nofollow" target="_blank">patreon.com/theengiineer</a>