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. Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the podcast. Help support the podcast - https://www.buzzsprout.com/2429696/support

  1. Embodied Intelligence: A Necessary Next Step?

    −5 D

    Embodied Intelligence: A Necessary Next Step?

    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 learning, and high-fidelity simulators are laying the groundwork for embodied agents. But significant hurdles remain, including the persistent sim-to-real gap and the immense data requirements for training. A fascinating frontier is emerging as researchers combine the planning power of LLMs with embodied systems, opening new paradigms in robotics. Finally, we look at the broader ecosystem—from leading universities to pioneering companies—pushing this field forward. Alongside the potential societal and economic benefits, we examine the ethical responsibilities and governance structures needed to ensure embodied AI becomes a safe and valuable part of our daily lives. Support the show 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!

    24 min
  2. AI: 50% Job Loss or the Great Reallocation?

    30 JULI

    AI: 50% Job Loss or the Great Reallocation?

    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 Computer Revolutions, the discussion highlights that while total employment eventually recovers, disruption and inequality often surge in the short term. AI’s role as a General-Purpose Technology (GPT) means it’s advancing fast and cutting across industries—automating complex, non-routine tasks with unprecedented speed. We’re already seeing a new “augmentation economy” take shape, where workers who combine AI literacy with human-centric skills like critical thinking are earning a premium. The conversation ends with a look at the road ahead: a multi-stage transformation that calls for smarter business strategies, continuous upskilling, and thoughtful policymaking to ensure the benefits of AI are widely shared. Support the show 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!

    35 min
  3. The Sentient Facility: AI and Digital Twins in FM

    24 JULI

    The Sentient Facility: AI and Digital Twins in FM

    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 reliability. But transformation doesn’t come easy. We also dig into the real-world challenges of implementation, from high upfront costs and data quality concerns to cybersecurity risks and workforce readiness. Join us as we look ahead to a future of autonomous, connected, and human-centric intelligent buildings. Support the show 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!

    26 min
  4. Cognitive Sovereignty - Australia's AGI Strategy

    20 JULI

    Cognitive Sovereignty - Australia's AGI Strategy

    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-shaper.” The episode wraps with a proposed three-pillar strategy for Australia: build a sovereign AI ecosystem, lead in shaping global AI governance, and strengthen national security through strategic technology adoption. It’s a wake-up call for middle powers navigating the age of intelligent machines. Support the show 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!

    16 min
  5. Modelling the Primitive Brain in AI

    28 JUNI

    Modelling the Primitive Brain in AI

    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 Brainstem for basic reflexes and stability, a Digital Limbic System for emotional and motivational drives, and a Digital Cerebellum for fine-tuned motor skills. This layered architecture could lead to AI that’s not only smarter, but more stable, grounded, and autonomous. Through robotics experiments and practical demonstrations, the episode shows how mimicking the full architecture of biological intelligence, not just its higher-order functions, could be key to the next leap in AI development. Support the show 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!

    24 min
  6. Beyond Words: AI Theories and the Nature of Intelligence

    21 JUNI

    Beyond Words: AI Theories and the Nature of Intelligence

    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 focuses on teaching AI to form predictive, abstract representations of its environment. The discussion compares how each approach handles learning, reasoning, and knowledge representation, highlighting their unique strengths and limitations. Ultimately, the episode suggests that true AI may emerge not from one theory alone, but from a synthesis of ideas—reflecting the complex, multi-dimensional nature of intelligence itself. Support the show 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!

    14 min
  7. Self-learning and Continuous Learning for AI

    9 JUNI

    Self-learning and Continuous Learning for AI

    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 transfer learning, as well as the challenges these systems face, including catastrophic forgetting and the delicate balance between learning new information and retaining the old. We also explore practical applications of self-learning AI in education, finance, and autonomous systems, and unpack the ethical implications—ranging from data privacy to algorithmic bias—that must be addressed as this powerful technology evolves. Support the show 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!

    26 min
  8. Are you getting too close to your AI?

    6 JUNI

    Are you getting too close to your AI?

    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-rooted tendencies like anthropomorphism. The episode also delves into the implications of this evolving relationship, balancing potential benefits like emotional support and reduced loneliness against serious concerns such as emotional dependence, social displacement, and manipulation. Ultimately, it highlights the importance of designing emotionally aware and ethically responsible AI systems as these relationships continue to deepen. Support the show 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!

    24 min
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Om

“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 podcast. Help support the podcast - https://www.buzzsprout.com/2429696/support

Information

  • Skapad av
    David Such
  • Aktiva år
    2 tn
  • Avsnitt
    41
  • Åldersgräns
    Vuxet innehåll
  • Copyright
    © 2025 Kintarla Pty Ltd
  • Programmets webbplats
    Embedded AI - Intelligence at the Deep Edge
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