Rephonic
Artwork for EDGE AI POD
Edge AI
Generative AI
Machine Learning
Artificial Intelligence
Tinyml
Edge Computing
Iot
Energy Efficiency
Embedded Systems
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

PublishesWeeklyEpisodes91Founded2 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for EDGE AI POD

Latest Episodes

Shipping edge AI shouldn’t feel like a marathon through model zoos, missing ops, and latency ceilings. We lay out a practical path to get from your data and constraints to a hardware-ready model—measured on real boards—without the endless back-and-fo... more

YouTube

What if the fastest path to efficient edge AI isn’t a bigger CPU, but a smarter stream of data? We pull back the curtain on NeuralArt—the flexible, stream‑based accelerator inside the STM32N6—and show how a decade of prototypes led us to rethink how ... more

YouTube

Sensors are flooding the edge with data while CPUs juggle denoising, formatting, and inference. We built ADA to flip that script: a Turing-complete neuromorphic processor that computes with time-encoded spikes, slashing power, latency, and memory mov... more

YouTube

What if your printer didn’t just spit out pages, but actually understood them? We walk through a hands-on look at multimodal AI on the edge—how visual-language models read layouts, extract tables, translate content, and reformat documents right where... more

YouTube

Key Facts

Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Practical AI
Practical AIPractical AI LLC
Hard Fork
Hard ForkThe New York Times
SmartLess
SmartLessJason Bateman, Sean Hayes, Will Arnett

Recent Guests

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
Yuko Shiroka
Associated Professor of Hokkaido University, now at SoftBank working on aquaculture projects.
SoftBank
Episode: Counting What Counts: How Edge AI is Saving Japan's Seafood Industry

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 States10 months 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
#243
United Kingdom/Technology
Apple Podcasts
#155
Netherlands/Technology
Apple Podcasts
#189
Poland/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
What happens when AI learns from the fire hose—and tests itself on silicon
Q: Can you export your models to PyTorch or Keras, or is it only for direct-to-chip use?
The platform supports exporting to Keras for wider integration, while direct-to-chip workflows primarily use TFLite as the interchange format.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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.

Where can I find podcast stats for EDGE AI POD?

Rephonic provides a wide range of podcast stats for EDGE AI POD. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to EDGE AI POD and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does EDGE AI POD get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for EDGE AI POD, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for EDGE AI POD?

Rephonic provides comprehensive predictive audience data for EDGE AI POD, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does EDGE AI POD have?

To see how many followers or subscribers EDGE AI POD has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to EDGE AI POD?

These podcasts share a similar audience with EDGE AI POD:

1. Practical AI
2. Moonshots with Peter Diamandis
3. Lex Fridman Podcast
4. Hard Fork
5. SmartLess

How many episodes of EDGE AI POD are there?

EDGE AI POD launched 2 years ago and published 91 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact EDGE AI POD?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for EDGE AI POD?

Rephonic pulls ratings and reviews for EDGE AI POD from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for EDGE AI POD?

Rephonic provides full transcripts for episodes of EDGE AI POD. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on EDGE AI POD?

Recent guests on EDGE AI POD include:

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

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days