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PODCAST

Embedded AI - Intelligence at the Deep Edge

“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.Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the

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All Episodes

18:25

Demystifying AI and Practical Applications

Embedded AI - Intelligence at the Deep Edge ·

2025/10/04

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 the Large Language Models (LLMs) powering our world, breaking down core concepts like the attention mechanism and temperature. We also confront thei...

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14:31

Why Autonomous AI Agents Are the Next Frontier

Embedded AI - Intelligence at the Deep Edge ·

2025/09/29

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 key traits—autonomy, adaptability, and goal-orientation—and explain how they differ from older automation tools like RPA by tackling complex ...

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15:44

LLM Bias: Implications for Corporations rolling out AI

Embedded AI - Intelligence at the Deep Edge ·

2025/09/23

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 frames this as more than just an ethical problem. It’s a real business risk, with potential for legal exposure and reputational damage. Worse sti...

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23:03

Deterministic LLMs: Claims and Challenges

Embedded AI - Intelligence at the Deep Edge ·

2025/09/20

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 prompts. We explore the engineering efforts aimed at reducing this variability, including recent claims by Thinking Machines about “batch invarian...

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21:23

LLM Scaling Plateau and the Future of AI Innovation

Embedded AI - Intelligence at the Deep Edge ·

2025/09/18

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 break through it, and what this all means for the future of AI and the global economy. We'll break down the core reasons for the scaling slowdown, ...

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16:26

How to integrate AI into Organizations

Embedded AI - Intelligence at the Deep Edge ·

2025/09/16

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 future of AI in business isn't a battle between top-down and bottom-up. It's about a symbiotic relationship where leadership provides the vision an...

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20:36

Do AI Models Have a Mind Without Memory?

Embedded AI - Intelligence at the Deep Edge ·

2025/09/13

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 understand you, to reason, and to respond. But what if I told you that in the very next moment, it completely forgot everything you said? This is the core...

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17:49

Impact of AI on Democracy and the Global Economy

Embedded AI - Intelligence at the Deep Edge ·

2025/09/11

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, we explore how AI is transforming labor markets—creating new opportunities while simultaneously automating jobs, devaluing skills, and exacerbati...

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6:26

AI: A New Pivotal Moment in Human History?

Embedded AI - Intelligence at the Deep Edge ·

2025/09/07

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—one that automates cognitive tasks and even democratizes creativity itself. But the story isn’t without tension. We discuss the risks of cognitive at...

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10:15

Vibe Coding: English as a Programming Language

Embedded AI - Intelligence at the Deep Edge ·

2025/09/02

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 excitement, we discuss the technical hurdles—from limited context windows and interpretability challenges to the tension between language’s natural ambigui...

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23:47

Embodied Intelligence: A Necessary Next Step?

Embedded AI - Intelligence at the Deep Edge ·

2025/08/25

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 with the environment. We explore the technical blueprint shaping this field: advances in computer vision, sensorimotor control, reinforcement learnin...

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35:24

AI: 50% Job Loss or the Great Reallocation?

Embedded AI - Intelligence at the Deep Edge ·

2025/07/30

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 cognitive work and amplifying productivity. It wont be all pain free though. Drawing comparisons with past technological shifts like the Industrial and Co...

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26:06

The Sentient Facility: AI and Digital Twins in FM

Embedded AI - Intelligence at the Deep Edge ·

2025/07/24

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 building replicas meet intelligent analytics—to deliver measurable outcomes like lower operational costs, smarter energy usage, and better asset reli...

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15:51

Cognitive Sovereignty - Australia's AGI Strategy

Embedded AI - Intelligence at the Deep Edge ·

2025/07/20

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 Australia’s position in this unfolding competition, examining its current vulnerabilities as an “AI-taker” and the pressing need to become an “AI-shap...

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24:04

Modelling the Primitive Brain in AI

Embedded AI - Intelligence at the Deep Edge ·

2025/06/28

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 inspiration from the brain’s older, more primal structures, the episode introduces the idea of building AI with foundational systems like a Digital B...

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13:46

Beyond Words: AI Theories and the Nature of Intelligence

Embedded AI - Intelligence at the Deep Edge ·

2025/06/21

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 cortical columns independently modeling the world through sensory input. Finally, it looks at Joint Embedding Predictive Architecture (JEPA), which focuse...

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25:52

Self-learning and Continuous Learning for AI

Embedded AI - Intelligence at the Deep Edge ·

2025/06/09

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 future Artificial General Intelligence (AGI). Listeners will learn about core algorithmic methods such as reinforcement learning, meta-learning, and...

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23:35

Are you getting too close to your AI?

Embedded AI - Intelligence at the Deep Edge ·

2025/06/06

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 and avoidance. The discussion emphasizes that while AI lacks true emotions, humans often project emotional depth onto machines, revealing deep-ro...

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16:18

Why Large Language Models think differently to us

Embedded AI - Intelligence at the Deep Edge ·

2025/06/01

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 between words. The discussion contrasts this form of statistical pattern recognition with the richer, experience-driven reasoning of the human ...

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5:35

AlphaEvolve and Genetic Machine Learning

Embedded AI - Intelligence at the Deep Edge ·

2025/05/27

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 complex, human-defined problems. We explore how AlphaEvolve has already made headlines by discovering faster matrix multiplication algorithms...

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