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Artwork for EDGE AI POD
Edge AI
Generative AI
Machine Learning
Artificial Intelligence
Tinyml
Edge Computing
Iot
Embedded Systems
Energy Efficiency
Cloud Computing
Healthcare
Tiny Machine Learning
Large Language Models
Microcontrollers
Video Monitoring
Tsetlin Machines
AI Compilers
ARM Technologies
AI Models
Smart City

Discover the cutting-edge world of energy-efficient machine learning, edge AI, hardware accelerators, software algorithms, and real-world use cases with this podcast feed from all things in the world's largest EDGE AI community. These are shows like EDGE AI Talks, EDGE AI Blueprints as well as EDGE AI FOUNDATION event talks on a range of research, product and business topics. Join us to stay info... more

PublishesWeeklyEpisodes100Founded2 years ago
Number of ListenersCategory
Technology

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Artwork for EDGE AI POD

Latest Episodes

Your phone, watch, and even your fridge want real-time intelligence—but power and latency won’t tolerate bloated models or generic compute. We walk through a practical path from Python to custom hardware using high-level synthesis, then invite you to... more

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What if a neighborhood could think, heal, and feed itself? We sit down with James Ehrlich of Stanford to unpack Village OS, a generative AI platform that designs resilient communities by starting with a simple question: what does the land want? From ... more

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Crowded cafés, clinking plates, and echoey halls make conversations exhausting. We set out to change that by fitting real deep learning into an ear-sized device and proving it can separate speech from noise with almost no delay or battery hit. The re... more

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A failed 5G rollout in a legendary forest forced us to rethink everything we knew about AI infrastructure. Instead of pushing data to distant servers, we turned wearables, sensors, and tiny controllers into a cooperative network that can sense, decid... more

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Recent Guests

Lucas García
Product Manager for AI products
MathWorks
Episode: Verification, Validation & Certification of AI in Safety-Critical Applications
Mohammed Ali
Head of EMAS; Founder; Associate Professor at NTU Singapore
EMAS; NTU Singapore
Episode: From Lab to Low-Power: Building EMASS, a Tiny AI Chip That Runs on Milliwatts
Evan Petritis
CEO of Model Cat (formerly Eta Compute)
Model Cat
Episode: What happens when AI learns from the fire hose—and tests itself on silicon
Stefan Crossin
CEO and co-founder of YASP
YASP
Episode: What happens when you use AI to optimize AI and make AI models run fast anywhere?
Keith Kressin
Senior Executive at MemoryX
MemoryX
Episode: Edge Computing Revolutionized: MemryX's New AI Accelerator
Hiroshi Ota
Co-founder of Edge Matrix, previously worked in mobile carrier and established Cloudian.
Edge Matrix
Episode: How Edge Matrix is Transforming Video Monitoring Through AI
Anoop Balachandran
Co-Founder of TinkerBlocks, previously handled IoT at Bosch
TinkerBlocks
Episode: The future belongs to greasy machines that think for themselves - Anoop Balachandran of Tinkerblox
Wassim Kezai
Co-founder of Snipe Search and software engineer specializing in AI and cloud solutions.
Snipe Search
Episode: The Future of Domain-Specific AI Search Lies in Targeted Agent Systems
Davis Sawyer
AI Product Marketing Manager at NXP Semiconductors
NXP Semiconductors
Episode: Smart Chips, Big Dreams: How NXP is Changing the AI Game

Hosts

Jenny Spielman
Host of EDGE AI Talks
Pete Bernard
Host of EDGE AI Talks / EDGE AI POD
Sarah
Co-host

Reviews

4.0 out of 5 stars from 2 ratings
  • Ai gened interviews?!

    I recognize that this podcast is all about ai but publishing episodes that are voiced by ai voices from Notebooklm is kind of lazy.

    Apple Podcasts
    3
    Joggingprowannabe
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The tech depth and demo-focused episodes are highly valued by technically minded listeners.
Some listeners feel AI voices in episodes feel lazy or inauthentic.
Mixed opinions on the pace of innovation versus depth of practical takeaways.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#149
Sweden/Technology
Apple Podcasts
#166
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

How AI Compensates for PID Controller Limitations in Electric Vehicles with STMicroelectronics
Q: What are the key benefits of using an AI-based compensation over traditional PID tuning in this setup?
The AI-based compensation can reduce overshoot and improve accuracy in latency-constrained control loops by learning a time-varying correction to apply to the PID output, which is difficult to achieve with fixed-parameter tuning alone. It also enables deploying a data-driven approach on microcontrollers with a workflow that integrates Simulink/MATLAB design, optimization, and on-device execution.
From Fragments to Foundation: The Sound of Progress in Edge Audio AI
Q: Can you quickly comment about what the demos were about?
The demos illustrated simple document understanding tasks such as table extraction from PDFs, showing how visual language models can extract structured data without template-based training, and output it in usable formats like CSV.
Faster Edge AI, Fewer Headaches
Q: What physical hardware is provided in the testing farm?
Currently, the testing farm is integrated with Qualcomm AI Hub devices, providing access to a range of devices via that cloud integration, with plans to broaden to additional devices and partners in the future.
Faster Edge AI, Fewer Headaches
Q: How is hardware-aware pruning different than regular pruning?
Hardware-aware pruning specifically targets the hardware and toolchain in use, pruning the model in a way that aligns with the device's acceleration capabilities and memory layout, which can lead to substantial performance gains on the target hardware compared with generic pruning.
From Lab to Low-Power: Building EMASS, a Tiny AI Chip That Runs on Milliwatts
Q: Can you talk a little bit more about the drone applicability and any drone trials?
Drones are a primary use case where energy savings directly translate to longer flight times. Simulations show 50-70% improvements in flight endurance by re-allocating AI workloads to optimize propeller usage, and real-world trials with OEM partners are being pursued to validate live performance.

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Frequently Asked Questions About EDGE AI POD

What is EDGE AI POD about and what kind of topics does it cover?

A concise look at edge AI across hardware, software, and real-world deployments. Episodes span edge accelerators, TinyML and on-device optimization, hardware-software co-design, and pragmatic use cases from drones to automotive and wearables. Content often centers on tooling, benchmarking, and end-to-end pipelines that move models from cloud to on-device execution, with live demos and industry perspectives that highlight fragmentation, privacy, and power efficiency challenges. Noteworthy are hands-on demonstrations, beta programs, and collaborations with chipmakers and ecosystems that underscore practical paths to building and deploying energy-efficient AI at the edge.

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Which podcasts are similar to EDGE AI POD?

These podcasts share a similar audience with EDGE AI POD:

1. Practical AI
2. DataFramed
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. Hard Fork
5. The Daily

How many episodes of EDGE AI POD are there?

EDGE AI POD launched 2 years ago and published 100 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on EDGE AI POD?

Recent guests on EDGE AI POD include:

1. Lucas García
2. Mohammed Ali
3. Evan Petritis
4. Stefan Crossin
5. Keith Kressin
6. Hiroshi Ota
7. Anoop Balachandran
8. Wassim Kezai

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