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Inside the NXP Smart Home Lab: Edge AI in 2025 - Where Are We, Actually? | Edge of Tomorrow: The Edge AI Debate with NXP's Davis Sawyer & Anthony Huereca
We’ve been talking about smarter devices for years - but what does progress actually look like today?
In this episode of our spin-off series Edge of Tomorrow: The Edge AI Debate, created in collaboration with the @edgeaifoundation , Host Tom White heads to NXP Semiconductor's Smart Home Lab to sit down with Davis Sawyer - AI Product Manager and Anthony Huereca - Senior Embedded Systems Engineer.
Together, they explore where Edge AI really stands in 2025 from smaller, more efficient models to the gap between what people want and what’s actually being built.
They dive into the current state of embedded intelligence, real-world applications in the smart home, technical and practical challenges, and what the future might look like, with a focus on what’s actually working today.
Expect thoughts on...
👉 Where smart home tech really stands in 2025
👉 Why “Physical AI” might define the next decade
👉 The reality of running large AI models on embedded devices
👉 The ongoing push for standardisation (and why it’s more complex than it looks)
Chapters...
The episode is live on all major listening platforms now! Listen here: https://linktr.ee/theiotpodcast
What’s your take? Where do you see us heading? Drop your thoughts in the comments after you’ve had a listen.
Connect with our guests... Davis Sawyer - AI Product Marketing Manager: https://www.linkedin.com/in/davis-sawyer/ Anthony Huereca - Senior Embedded Systems Engineer: https://www.linkedin.com/in/huereca/
About Edge of Tomorrow: The Edge AI Debate
Edge of Tomorrow: The Edge AI Debate is a special spin-off series from The IoT Podcast, bringing together some of the brightest minds in Edge AI and beyond for high-stakes discussions on the challenges, opportunities, and trends shaping the future of intelligence at the edge. From the ethics of machine learning to the complexity of standardisation, no topic is off-limits.
Our goal is to give you real conversations — not just forecasts — by bringing together voices from across the field to explore how we can build AI that’s practical, responsible, and future-ready.
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By The IoT Podcast
1.7
33 ratings
We’ve been talking about smarter devices for years - but what does progress actually look like today?
In this episode of our spin-off series Edge of Tomorrow: The Edge AI Debate, created in collaboration with the @edgeaifoundation , Host Tom White heads to NXP Semiconductor's Smart Home Lab to sit down with Davis Sawyer - AI Product Manager and Anthony Huereca - Senior Embedded Systems Engineer.
Together, they explore where Edge AI really stands in 2025 from smaller, more efficient models to the gap between what people want and what’s actually being built.
They dive into the current state of embedded intelligence, real-world applications in the smart home, technical and practical challenges, and what the future might look like, with a focus on what’s actually working today.
Expect thoughts on...
👉 Where smart home tech really stands in 2025
👉 Why “Physical AI” might define the next decade
👉 The reality of running large AI models on embedded devices
👉 The ongoing push for standardisation (and why it’s more complex than it looks)
Chapters...
The episode is live on all major listening platforms now! Listen here: https://linktr.ee/theiotpodcast
What’s your take? Where do you see us heading? Drop your thoughts in the comments after you’ve had a listen.
Connect with our guests... Davis Sawyer - AI Product Marketing Manager: https://www.linkedin.com/in/davis-sawyer/ Anthony Huereca - Senior Embedded Systems Engineer: https://www.linkedin.com/in/huereca/
About Edge of Tomorrow: The Edge AI Debate
Edge of Tomorrow: The Edge AI Debate is a special spin-off series from The IoT Podcast, bringing together some of the brightest minds in Edge AI and beyond for high-stakes discussions on the challenges, opportunities, and trends shaping the future of intelligence at the edge. From the ethics of machine learning to the complexity of standardisation, no topic is off-limits.
Our goal is to give you real conversations — not just forecasts — by bringing together voices from across the field to explore how we can build AI that’s practical, responsible, and future-ready.
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