Embedded AI - Intelligence at the Deep Edge
David Such
“Intelligence at the Deep Edge” is a podcast exploring the fascinating intersection of embedded systems and artificial intelligence. Dive into the world of cutting-edge technology as we discuss how AI is revolutionizing edge devices, enabling smarter sensors, efficient machine learning models, and real-time decision-making at the edge.
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Top 10 Embedded AI - Intelligence at the Deep Edge Episodes
Goodpods has curated a list of the 10 best Embedded AI - Intelligence at the Deep Edge episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Embedded AI - Intelligence at the Deep Edge for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Embedded AI - Intelligence at the Deep Edge episode by adding your comments to the episode page.
Why Large Language Models think differently to us
Embedded AI - Intelligence at the Deep Edge
06/01/25 • 16 min
This episode explores the world of embeddings, mathematical representations that allow Large Language Models (LLMs) like ChatGPT to “think” in thousands of dimensions. While humans are limited to conceptualizing in three dimensions, LLMs operate in 2048 or more, using embeddings to encode meaning and capture semantic relationships between words.
The discussion contrasts this form of statistical pattern recognition with the richer, experience-driven reasoning of the human brain. It also introduces a new technique called ‘vec2vec,’ which enables translation between embeddings from different models. While powerful, this raises potential security concerns about reverse-engineering sensitive data from vector databases. The episode sheds light on the impressive capabilities of LLMs, while also questioning what it means for a machine to “understand.”
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
The Fundamental Particle of Consciousness
Embedded AI - Intelligence at the Deep Edge
12/20/24 • 13 min
In this episode, we explore the intricate relationship between neurons, intelligence, and consciousness. We talk about traditional views that associate consciousness with specific brain structures, such as the midline brain regions, and contrast them with emerging theories that highlight the role of the thalamocortical system. Key frameworks like the Global Workspace Theory and Integrated Information Theory provide insights into how consciousness might arise.
The episode also ventures into alternative perspectives, discussing potential “fundamental particles” of consciousness, from neuronal networks to quantum phenomena. We clarify the distinction between consciousness, as subjective experience, and intelligence, as a measure of cognitive ability, examining how these concepts apply to both biological and artificial systems. Ultimately, we tackle the enduring mystery of consciousness and its connection to intelligence, acknowledging the limitations of current scientific understanding.
It is a thought-provoking exploration of one of the most profound questions in science and philosophy.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
Apple’s AI Gamble in China: The Qwen Partnership
Embedded AI - Intelligence at the Deep Edge
02/19/25 • 19 min
In this episode, we explore Apple’s strategic partnership with Alibaba, integrating the Qwen AI model into iPhones sold in China. Faced with regulatory barriers and declining sales, Apple turns to Alibaba’s powerful large language model (LLM) to bring advanced AI features to its Chinese users while ensuring compliance with local laws.
We break down the implications of this move—how it strengthens Apple’s foothold in China, boosts Alibaba’s AI credibility, and reflects the broader trend of AI localization in global markets. However, challenges loom, including government scrutiny, competition from local AI firms, potential performance limitations, and privacy concerns.
Is this a smart strategic play or a risky compromise? And what does it mean for US-China tech relations? Tune in as we unpack the stakes behind Apple’s AI decision in China.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
AI Agents / Agentic AI: The next generation of AI?
Embedded AI - Intelligence at the Deep Edge
03/10/25 • 19 min
In this podcast episode, we investigate AI agents—autonomous systems that sense their environments, make independent decisions, and carry out tasks. We discuss their various types, architectures, and capabilities, highlighting their limitations and ethical implications. Special attention is given to the rise of Agentic Workflows and Data Synthesis, driven by challenges around accuracy in current AI systems. The episode also explores practical advice on building effective agents, emphasizing iterative prompt engineering and standardized JSON outputs. Finally, we touch on Edge AI Agents, a promising area bringing autonomous intelligence directly to resource-constrained devices, shaping the future of AI applications.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
Image Recognition EDA Guide
Embedded AI - Intelligence at the Deep Edge
01/24/25 • 21 min
This episode talks about the essentials of exploratory data analysis (EDA) for image recognition. We discuss key techniques—descriptive, diagnostic, and predictive EDA—and outline recommended steps such as image visualization, statistical analysis, anomaly removal, and feature engineering, along with ethical considerations in the process.
We also explore how EDA enhances model accuracy, focusing on the person detection model MCUNet-VWW2 and the Wake Vision dataset. Learn how label correction, data augmentation, and preprocessing improved performance while addressing dataset features, limitations, and the impact of EDA in real-world applications. Join us for an insightful guide to mastering EDA in image recognition!
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
AI's Hard Takeoff: AGI in 1-6 Years?
Embedded AI - Intelligence at the Deep Edge
02/02/25 • 21 min
In this episode, we explore the concept of AI hard takeoff—the moment when artificial intelligence rapidly surpasses human intelligence, triggering an unstoppable acceleration in its capabilities. We break down the difference between a hard takeoff and a soft takeoff, weighing the potential risks and benefits of AI evolving beyond human control.
We also examine recent breakthroughs in AI, uncovering evidence that suggests we may be closer than ever to Artificial General Intelligence (AGI) and even Artificial Superintelligence (ASI). With insights from leading AI experts, we discuss the growing concerns over the speed of AI development and whether organizations and governments are truly prepared for what comes next.
Is humanity on the brink of an AI revolution, or are we rushing into unknown dangers? Tune in to find out.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
The demise of Intel - first mobile and now AI
Embedded AI - Intelligence at the Deep Edge
12/11/24 • 16 min
Welcome to today’s Podcast episode on The Demise of Intel: First Mobile and Now AI. Once a titan of the semiconductor industry, Intel is now grappling with a crisis stemming from boardroom missteps, cultural stagnation, and missed opportunities in critical markets like mobile and AI. Today, we’ll unravel how a series of poor decisions—many driven by a board lacking semiconductor expertise—have culminated in the recent dismissal of CEO Pat Gelsinger, who, despite his flaws, was seen as a leader capable of turning the ship around.
This discussion is inspired by a recent article from SemiAnalysis.com titled Intel on the Brink of Death, which delves deeply into the challenges facing the company. We’ll explore how Intel’s cultural shift from technological innovation to internal politics eroded its leadership and allowed competitors like ARM and NVIDIA to dominate the mobile and AI spaces.
With its x86 architecture under siege in both client and server markets and the rise of accelerated computing shrinking its addressable market, Intel faces an uphill battle. Yet, there’s a glimmer of hope in its foundry business—a potential lifeline to reclaim technological leadership, if it can overcome immense capital challenges and attract key customers.
Join us as we analyze SemiAnalysis.com’s insights, dive into the roots of Intel’s decline, and discuss whether this tech giant has what it takes to rise from the brink.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
Spiking Neural Networks: The Future of AI?
Embedded AI - Intelligence at the Deep Edge
01/06/25 • 29 min
In this episode, we get into spiking neural networks (SNNs), a cutting-edge AI model inspired by the brain’s biological processes. Unlike traditional neural networks, SNNs are energy-efficient and optimized for neuromorphic hardware, making them ideal for tasks involving temporal or sequential data. We explore their event-driven approach, potential to revolutionize AI, and their promise as a stepping stone toward artificial general intelligence. While challenges in training and hardware adoption persist, the discussion highlights the need for innovative architectures that replicate the brain’s complexity, positioning SNNs as a foundation for next-generation AI systems.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
Deep Learning Frameworks in 2025: A Review
Embedded AI - Intelligence at the Deep Edge
01/18/25 • 35 min
In this episode, we investigate the state of deep learning frameworks in 2025. We review the leading contenders—TensorFlow, PyTorch, JAX, MXNet, and LightningAI—analyzing their strengths, latest features, performance benchmarks, and the size of their user communities.
We also explore key trends shaping the field, including the sustained dominance of established frameworks and the growing popularity of specialized options like LightningAI, known for its focus on performance, scalability, and usability. To wrap up, we discuss future directions in deep learning frameworks, from integrating quantum computing to improving model interpretability. Tune in for a forward-looking discussion on the tools driving the future
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
The Nvidia Way: From Gaming Chips to AI Domination
Embedded AI - Intelligence at the Deep Edge
12/26/24 • 13 min
Welcome to The Nvidia Way: From Gaming Chips to AI Domination. In today’s episode, we explore the fascinating story behind Nvidia’s rise, inspired by Tae Kim’s groundbreaking new book, The Nvidia Way. This is the first comprehensive account of Nvidia’s history and the visionary leadership of Jensen Huang. From the company’s early struggles to its risky yet brilliant decisions, Kim takes us through the journey that transformed Nvidia from a niche player in gaming graphics to a dominant force in artificial intelligence.
We’ll chat about the unique corporate culture and Huang’s distinctive management style that fueled this meteoric rise. While the book captures Nvidia’s path to market dominance, it also leaves room for debate on the company’s recent strategies, like the controversial Arm acquisition attempt. Are Nvidia’s successes a product of strategic genius, or were they simply in the right place at the right time? And what does the future hold for this tech giant as it looks beyond Huang’s leadership? Join us as we unpack these questions and examine the lessons from Nvidia’s remarkable ascent.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!
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FAQ
How many episodes does Embedded AI - Intelligence at the Deep Edge have?
Embedded AI - Intelligence at the Deep Edge currently has 33 episodes available.
What topics does Embedded AI - Intelligence at the Deep Edge cover?
The podcast is about Ai, Development, Podcasts, Education and Iot.
What is the most popular episode on Embedded AI - Intelligence at the Deep Edge?
The episode title 'Blockchain and AI Convergence' is the most popular.
What is the average episode length on Embedded AI - Intelligence at the Deep Edge?
The average episode length on Embedded AI - Intelligence at the Deep Edge is 21 minutes.
How often are episodes of Embedded AI - Intelligence at the Deep Edge released?
Episodes of Embedded AI - Intelligence at the Deep Edge are typically released every 5 days.
When was the first episode of Embedded AI - Intelligence at the Deep Edge?
The first episode of Embedded AI - Intelligence at the Deep Edge was released on Dec 2, 2024.
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