Rephonic
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

PublishesWeeklyEpisodes109Founded2 years ago
Number of ListenersCategory
Technology

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Artwork for EDGE AI POD

Latest Episodes

You shouldn’t need a warehouse full of broken products to build a reliable vision model. We dig into how synthetic data flips the script for manufacturing and quality control, showing why controlled scenes, perfect labels, and rapid iteration can out... more

The cloud can’t carry the weight of billions of sensors forever, and we’re proving why. We walk through a new class of ultra‑low‑power, heterogeneous neuromorphic microcontrollers that bring real intelligence to the edge, where timing, latency, and p... more

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What if a lab test that takes 12 to 24 hours could be replaced by a live estimate that guides dosing in real time? We walk through a high-stakes water story where boron control in desalination demanded more than a clever model—it needed a secure, loc... more

YouTube

The future of artificial intelligence isn't just in massive cloud data centers—it's happening right now on the devices all around us. This insightful panel discussion brings together leading experts from major semiconductor companies and academia to ... more

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Recent Guests

James Ehrlich
Director of Compassionate Sustainability at Stanford University; Entrepreneur in Residence
Stanford University
Episode: Village OS: AI For Sustainable Living
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

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 show uses AI-generated voices, which some listeners feel is lazy.
Content focuses on practical edge AI and hardware demos, which is appreciated by engineers.
Guests and topics are technically deep, appealing to seasoned listeners.

Chart Rankings

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Apple Podcasts
#217
Finland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Village OS: AI For Sustainable Living
Q: Is this software that can be integrated locally on hardware or embedded systems for B2B use?
They are developing an open-source API and an agnostic middleware; while not all components are ready yet, the goal is to enable local, on-site deployment and interaction with a broader platform once the API is released.
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.

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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 tech-focused series exploring energy-efficient machine learning, edge AI, and hardware accelerators through practitioner-led talks and real-world use cases. Episodes often center on edge inference, on-device AI, and co-design between software and hardware, with hands-on demos and practical deployment considerations across industries such as wearables, automotive, and industrial sensors. Notable strengths include deep dives into edge architectures, hands-on demonstrations, and collaborations that illustrate real-world impact. A standout feature is the emphasis on accessible, practitioner-oriented content that bridges research, product development, and business applications, making it valuable for teams evaluating or sponsoring edge AI topi... more

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1. Hard Fork
2. Moonshots with Peter Diamandis

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EDGE AI POD launched 2 years ago and published 109 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. James Ehrlich
2. Lucas García
3. Mohammed Ali
4. Evan Petritis
5. Stefan Crossin
6. Keith Kressin
7. Hiroshi Ota
8. Anoop Balachandran

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