Best Embeddedai Podcasts (2025)

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The Acquisition of Arduino: Innovation or Absorption? 15:39

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13h ago15:39

15:39

Send us a text In a move that's sending shockwaves through the maker community, Qualcomm has officially acquired Arduino. In this episode, we look at one of the biggest tech stories of October 2025. First, we explore the "why" behind this deal. While Arduino democratized electronics, its core technology was falling behind modern 32-bit competitors.…

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AI Governance for Australian Companies 15:44

1d ago15:44

15:44

By David Such

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Demystifying AI and Practical Applications 18:25

6d ago18:25

18:25

Send us a text In this episode, we ask: Is the rise of Artificial Intelligence as pivotal as the invention of electricity or the internet? We look at this history-shifting moment by tracing AI's evolution from the first "perceptron" in the 1950s, through the infamous "AI Winter," to today's deep learning revolution. We then peek under the hood of t…

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Why Autonomous AI Agents Are the Next Frontier 14:31

11d ago14:31

14:31

Send us a text In this episode, we explore why autonomous AI agents are being called the next frontier for business. We're moving beyond isolated AI projects and into the era of the "agentic enterprise," where intelligent, autonomous agents are woven directly into the fabric of daily operations. But what exactly is an AI agent? We break down their …

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LLM Bias: Implications for Corporations rolling out AI 15:44

17d ago15:44

15:44

Send us a text In this episode, we dive into one of the biggest challenges in AI today, bias in large language models. The research shows that these models don’t represent all of humanity; instead, they overwhelmingly reflect the values and psychology of Western, Educated, Industrialized, Rich, and Democratic, or “WEIRD”, societies. One source fram…

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Deterministic LLMs: Claims and Challenges 23:03

20d ago23:03

23:03

Send us a text In this episode, we investigate the growing conversation around deterministic large language models (LLMs), models designed to always return the same output for the same input. We contrast this with the more common stochastic LLMs that rely on random sampling and parallel computation, making their outputs variable even with identical…

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LLM Scaling Plateau and the Future of AI Innovation 21:23

22d ago21:23

21:23

Send us a text In this episode, we explore the emerging reality of a "generative AI plateau." For years, the path to better AI has been a simple one: bigger models, more data, and more compute. But now, that brute-force approach is showing diminishing returns. We'll discuss why the industry is hitting this wall, what new strategies are emerging to …

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How to integrate AI into Organizations 16:26

24d ago16:26

16:26

Send us a text In today's episode, we're tackling one of the biggest questions facing modern businesses: What's the best way to introduce AI tools to your organization? Is it a top-down corporate mandate, or a bottom-up, grassroots movement? We'll explore the pros and cons of both, and reveal what the data shows is the most effective approach. The …

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Do AI Models Have a Mind Without Memory? 20:36

28d ago20:36

20:36

Send us a text Exploring what it means for a system to converse like a human but forget like a goldfish. Today, we're diving into a topic that's both a technical puzzle and a philosophical mystery: the statelessness of large language models, or LLMs. Think about the last conversation you had with an AI. It felt real, didn't it? It seemed to underst…

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Impact of AI on Democracy and the Global Economy 17:49

29d ago17:49

17:49

Send us a text In this episode, we dive into the profound ways artificial intelligence (AI) is reshaping democracy and the global economy. The discussion looks at how AI-driven misinformation, digital authoritarianism, and the growing dominance of tech giants are eroding public trust and threatening the integrity of elections. On the economic front…

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AI: A New Pivotal Moment in Human History? 6:26

1M ago6:26

6:26

Send us a text In this episode, we explore the idea that Artificial Intelligence marks one of the great turning points in human history, on par with the Agricultural, Printing, and Industrial Revolutions. By looking back at how past revolutions reorganized labor, democratized resources, and reshaped societies, we frame AI as the next major epoch—on…

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Vibe Coding: English as a Programming Language 10:15

1M ago10:15

10:15

Send us a text In this episode, we explore the fascinating new trend of vibe coding, where Large Language Models transform natural language into a programming interface. We trace the history of programming languages and natural language processing to show how this approach represents the next big leap in software abstraction. Alongside the exciteme…

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Embodied Intelligence: A Necessary Next Step? 23:47

2M ago23:47

23:47

Send us a text In this episode, we investigate Embodied Intelligence—the argument that true artificial intelligence can’t exist in isolation from the physical world. Unlike today’s Large Language Models, which lack grounded understanding and causal reasoning, embodied AI seeks to merge perception, action, and reasoning through direct interaction wi…

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AI: 50% Job Loss or the Great Reallocation? 35:24

2M ago35:24

35:24

Send us a text The headlines scream, "50% of jobs gone in 1-5 years!" Do you need to be worried or have we seen this all before? In this episode, we explore how Artificial Intelligence is reshaping the white-collar workforce—not by wiping out jobs, but by reallocating tasks. Rather than triggering mass unemployment, AI is automating routine cogniti…

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The Sentient Facility: AI and Digital Twins in FM 26:06

3M ago26:06

26:06

Send us a text In this episode, we explore how Artificial Intelligence and Digital Twin technology are revolutionizing the Facilities Management (FM) industry. No longer a reactive, behind-the-scenes function, FM is evolving into a proactive, data-driven strategic asset. We unpack the powerful synergy between AI and Digital Twins—where real-time bu…

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Cognitive Sovereignty - Australia's AGI Strategy 15:51

3M ago15:51

15:51

Send us a text In this episode, we look at the escalating global race for Artificial General Intelligence (AGI), exploring its high-stakes geopolitical implications. Drawing comparisons to the Cold War nuclear arms race, the discussion highlights how AGI differs as a dual-use technology—harder to regulate, verify, and contain. We shift focus to Aus…

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Modelling the Primitive Brain in AI 24:04

3M ago24:04

24:04

Send us a text In this episode, we explore a bold new vision for artificial intelligence, one that moves beyond the current neocortex-inspired focus of large language models like ChatGPT. Instead of relying solely on high-level reasoning and language, the discussion centers around a “bottom-up” approach grounded in biology and evolution. Drawing in…

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Beyond Words: AI Theories and the Nature of Intelligence 13:46

4M ago13:46

13:46

Send us a text This episode looks at three leading theories shaping the future of artificial intelligence. First, it looks at Large Language Models (LLMs), which argue that mastering language is the key to intelligence. Then, it explores the “Thousand Brains” theory, a neuroscience-inspired view that sees intelligence as the product of many cortica…

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Self-learning and Continuous Learning for AI 25:52

4M ago25:52

25:52

Send us a text In this episode, we investigate the world of self-learning and continuously adapting AI systems—technologies that allow machines to learn, retain, and apply knowledge over time without constant human input. The discussion breaks down key concepts like lifelong learning, incremental learning, and how they form the building blocks of f…

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Are you getting too close to your AI? 23:35

4M ago23:35

23:35

Send us a text Podcast Summary: In this episode, we explore the growing emotional bonds forming between humans and artificial intelligence. Drawing from recent research, including a groundbreaking study from Waseda University, we unpack how people experience attachment to AI through lenses traditionally used in human attachment theory—like anxiety …

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Why Large Language Models think differently to us 16:18

4M ago16:18

16:18

Send us a text 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 be…

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AlphaEvolve and Genetic Machine Learning 5:35

5M ago5:35

5:35

Send us a text In this episode, we look at AlphaEvolve, a breakthrough system from Google DeepMind that’s redefining how AI contributes to scientific and algorithmic discovery. Blending evolutionary computation with powerful language models like Gemini, AlphaEvolve operates in a self-improving loop - generating, testing, and refining code to tackle…

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Google Stitch AI UI/UX Design - What is it good for? 14:58

5M ago14:58

14:58

Send us a text In this episode, we explore Google Stitch, an experimental AI tool powered by Gemini models that’s aiming to reshape how user interfaces are conceived and built. Stitch lets users generate UI layouts and front-end code from simple text or image prompts, acting as a rapid prototyping engine to bridge the gap between design ideas and f…

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Life after AI: The Future of Work 15:11

5M ago15:11

15:11

Send us a text In this episode, we explore how artificial intelligence is set to reshape the job market over the coming decade, from 2025 to 2035. We unpack the dual forces at play—automation that may displace certain roles, and the simultaneous creation of new opportunities driven by AI innovation. Rather than a net loss, the data points toward a …

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How is AI Reshaping Search? 25:08

5M ago25:08

25:08

Send us a text In this episode, we explore how AI is fundamentally transforming search, moving beyond traditional keyword-based results to conversational, synthesized answers powered by generative models. We unpack the rapid adoption of features like AI Overviews and the rise of AI chatbots as preferred tools for information retrieval, reflecting a…

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AI Reshaping Modern Warfare 24:44

5M ago24:44

24:44

Send us a text In this episode, we explore how Artificial Intelligence is transforming the face of modern warfare, from battlefield tactics to global strategy. We dive into the current military applications of AI across intelligence gathering, autonomous drones and robots, logistics, cybersecurity, and command and control systems. We also examine h…

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Sensor Machine Learning 30:00

5M ago30:00

30:00

Send us a text This podcast explores the rise of Sensor Machine Learning (Sensor ML) as a powerful evolution in embedded system design. Traditional sensor fusion methods like Kalman filters often fall short when faced with non-linear, noisy, or dynamic data. Sensor ML offers a modern alternative by applying machine learning algorithms directly to s…

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Is it time to invest in AI as a business in Australia? 1:10:17

5M ago1:10:17

1:10:17

Send us a text In this episode, we explore why 2025 marks a crucial turning point for AI adoption in Australian service industries. We dive into the immense opportunities AI presents, from boosting operational efficiency to enhancing customer experiences and strengthening market positioning. But we also unpack the real-world challenges—ranging from…

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LLMs as Assistants - the ultimate guide! 24:08

6M ago24:08

24:08

Send us a text In this episode, we look at the role of large language models (LLMs) as modern-day “artificial interns”, exploring how these systems are transforming the way we work. From content generation and coding help to customer service and knowledge retrieval, we examine how LLMs are used across augmented, transactional, and autonomous tasks.…

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Blockchain and AI Convergence 22:21

6M ago22:21

22:21

Send us a text In this episode, we dive into the fascinating convergence of blockchain and artificial intelligence (AI)—two powerful technologies reshaping the digital landscape. We explore how blockchain brings transparency, trust, and data integrity to AI systems, while AI enhances blockchain networks through automation, prediction, and optimizat…

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AI Bias and Fairness: A Contentious Landscape 27:36

7M ago27:36

27:36

Send us a text In this episode, we examine the critical issue of bias in artificial intelligence, exploring how biased AI systems can amplify discrimination and perpetuate societal inequalities. We discuss the sources of AI bias, including prejudiced training data, algorithmic design choices, and human decisions during development. We highlight how…

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AI Agents / Agentic AI: The next generation of AI? 19:55

7M ago19:55

19:55

Send us a text 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 …

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LLMs - Fancy Autocorrect or can they actually Reason? 14:58

7M ago14:58

14:58

Send us a text In this episode, we discuss the limitations of Large Language Models (LLMs) in areas like deductive reasoning, analogy-making, and ethical judgment. While today’s AI models excel at recognizing statistical patterns in vast datasets, they lack genuine understanding or an internal model of the world. Researchers are tackling these chal…

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AI Errors vs. Human Mistakes: Rethinking Security 11:49

8M ago11:49

11:49

Send us a text In this episode, we explore the unique nature of AI mistakes and why they differ fundamentally from human errors. Unlike people, AI systems make random, inconsistent, and unpredictable errors, often without awareness of their own limitations. This unpredictability challenges traditional security approaches, requiring new frameworks f…

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Apple’s AI Gamble in China: The Qwen Partnership 19:33

8M ago19:33

19:33

Send us a text 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…

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AI Music Production: Generative AI, MIDI Controllers, and the Future of Music 15:35

8M ago15:35

15:35

Send us a text In this episode, we investigate the world of AI-generated music, exploring how cutting-edge AI techniques—such as transformers, GANs, and VAEs—are revolutionizing music creation. We also take a look at traditional non-AI methods like arpeggiators and Markov chains, which continue to shape algorithmic composition. Beyond the software,…

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AI's Hard Takeoff: AGI in 1-6 Years? 21:47

8M ago21:47

21:47

Send us a text 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 hu…

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DeepSeek: A Budget-Friendly solution or the end of Western AI? 15:51

8M ago15:51

15:51

Send us a text In this episode, we investigate DeepSeek AI, the cost-effective yet high-performing Chinese AI model that is making waves in the industry. We compare its capabilities to leading American models like OpenAI’s, uncovering how DeepSeek achieves impressive reasoning and coding performance at a fraction of the training cost. We break down…

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Image Recognition EDA Guide 21:42

9M ago21:42

21:42

Send us a text 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 pro…

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Deep Learning Frameworks in 2025: A Review 35:05

9M ago35:05

35:05

Send us a text 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 sustai…

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Capsule Networks: A new type of AI? 10:04

9M ago10:04

10:04

Send us a text In this episode, we explore capsule networks (CapsNets), an innovative advancement in artificial neural networks designed to overcome the limitations of traditional convolutional neural networks (CNNs). CapsNets introduce “capsules,” groups of neurons that encode richer information about features, such as their position and orientati…

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Artificial Consciousness: The Missing Pieces 17:40

9M ago17:40

17:40

Send us a text In this episode, we explore the fascinating and complex concept of artificial consciousness (AC). We dive into its definition, the current state of research, and the philosophical and ethical questions surrounding the creation of conscious machines. The discussion highlights the immense challenges in replicating subjective experience…

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Spiking Neural Networks: The Future of AI? 29:20

9M ago29:20

29:20

Send us a text 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 appr…

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The Nvidia Way: From Gaming Chips to AI Domination 13:38

10M ago13:38

13:38

Send us a text 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 str…

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The Fundamental Particle of Consciousness 13:14

10M ago13:14

13:14

Send us a text 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 fr…

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The problem of ML Model drift and decay in production 34:01

10M ago34:01

34:01

Send us a text In this episode, called “The Problem of ML Model Drift and Decay in Production,” we explore the challenges of maintaining machine learning (ML) model accuracy over time. We break down model drift, a critical issue where a model’s predictive performance degrades due to changes in data or the environment. Listeners will learn about the…

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Quantum Computing and AI: A Symbiotic Leap Forward 19:05

10M ago19:05

19:05

Send us a text In this podcast, “Quantum Computing and AI: A Symbiotic Leap Forward,” we discuss the intersection of quantum computing and artificial intelligence, exploring their combined potential to reshape industries and redefine innovation. The episode begins by breaking down the fundamentals of quantum computing, shedding light on the various…

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Is AI the end of coding or the start of something else? 14:39

10M ago14:39

14:39

Send us a text Welcome to Is AI the End of Coding or the Start of Something Else? Today, we explore the impact of artificial intelligence on the coding profession. AI is revolutionizing how programmers work by automating routine tasks, integrating seamlessly into tools like VS Code through GitHub Copilot, and powering advanced Modular Development E…

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The demise of Intel - first mobile and now AI 16:41

10M ago16:41

16:41

Send us a text 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 decision…

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The path to Superintelligence 23:00

10M ago23:00

23:00

Send us a text This episode discusses one of the most thought-provoking works on the future of artificial intelligence—Nick Bostrom’s Superintelligence: Paths, Dangers, Strategies. It's a groundbreaking book that tackles the potential emergence of artificial superintelligence and its profound implications for humanity. Bostrom explores the pathways…