David Such
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 podcast. Help support the podcast - https://www.buzzsprout.com/2429696/support
Author
David Such
Category
Podcast website
Latest episode
Jun 26, 2026
Where to listen?
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Episodes
AI: A New Pivotal Moment in Human History? 07.09.2025 6:26
Send us Fan Mail 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 democr...
Vibe Coding: English as a Programming Language 02.09.2025 10:15
Send us Fan Mail 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 limit...
Embodied Intelligence: A Necessary Next Step? 25.08.2025 23:47
Send us Fan Mail 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 bl...
AI: 50% Job Loss or the Great Reallocation? 30.07.2025 35:24
Send us Fan Mail 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. I...
The Sentient Facility: AI and Digital Twins in FM 24.07.2025 26:06
Send us Fan Mail 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 de...
Cognitive Sovereignty - Australia's AGI Strategy 20.07.2025 15:51
Send us Fan Mail 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,...
Modelling the Primitive Brain in AI 28.06.2025 24:04
Send us Fan Mail 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 st...
Beyond Words: AI Theories and the Nature of Intelligence 21.06.2025 13:46
Send us Fan Mail 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 throu...
Self-learning and Continuous Learning for AI 09.06.2025 25:52
Send us Fan Mail 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). Lis...
Are you getting too close to your AI? 06.06.2025 23:35
Send us Fan Mail 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 wh...
Why Large Language Models think differently to us 01.06.2025 16:18
Send us Fan Mail 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...
AlphaEvolve and Genetic Machine Learning 27.05.2025 5:35
Send us Fan Mail 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...
Google Stitch AI UI/UX Design - What is it good for? 26.05.2025 14:58
Send us Fan Mail 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 functional code. We discuss how the tool accelera...
Life after AI: The Future of Work 19.05.2025 15:11
Send us Fan Mail 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 shift: a changing landscape where skills, not...
How is AI Reshaping Search? 12.05.2025 25:08
Send us Fan Mail 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 major shift in user behavior. But this transfo...
AI Reshaping Modern Warfare 08.05.2025 24:44
Send us Fan Mail 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 how leading powers—including the U.S., China, an...
Sensor Machine Learning 05.05.2025 30:00
Send us Fan Mail 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 sensor streams, enabling more accurate pattern re...
Is it time to invest in AI as a business in Australia? 29.04.2025 1:10:17
Send us Fan Mail 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 financial costs and technological growing pain...
LLMs as Assistants - the ultimate guide! 12.04.2025 24:08
Send us Fan Mail 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 . We discuss a unique comparison: using LLMs fo...
Blockchain and AI Convergence 07.04.2025 22:21
Send us Fan Mail 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 optimization. You’ll hear about real-world applications...
AI Bias and Fairness: A Contentious Landscape 19.03.2025 27:36
Send us Fan Mail 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 biased AI impacts areas like recruitment, crim...
AI Agents / Agentic AI: The next generation of AI? 10.03.2025 19:55
Send us Fan Mail 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 accu...
LLMs - Fancy Autocorrect or can they actually Reason? 05.03.2025 14:58
Send us Fan Mail 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 challenges through innovations such as causal AI , i...
AI Errors vs. Human Mistakes: Rethinking Security 19.02.2025 11:49
Send us Fan Mail 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 for AI reliability and risk management . The disc...
Apple’s AI Gamble in China: The Qwen Partnership 19.02.2025 19:33
Send us Fan Mail 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—h...
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