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

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Author

David Such

Category

Education

Podcast website

embeddedai.buzzsprout.com

Latest episode

Nov 8, 2026

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Episodes

How is AI Reshaping Search? 12.05.2025

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

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

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

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

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

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

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

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

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

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

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...

AI Music Production: Generative AI, MIDI Controllers, and the Future of Music 09.02.2025

Send us Fan Mail 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, we discuss an innovative MIDI controller design...

AI's Hard Takeoff: AGI in 1-6 Years? 02.02.2025

Send us Fan Mail 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 breakthrou...

DeepSeek: A Budget-Friendly solution or the end of Western AI? 02.02.2025

Send us Fan Mail 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 the innovative techniques behind its success,...

Image Recognition EDA Guide 24.01.2025

Send us Fan Mail 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 acc...

Deep Learning Frameworks in 2025: A Review 18.01.2025

Send us Fan Mail 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...

Capsule Networks: A new type of AI? 15.01.2025

Send us Fan Mail 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 orientation, enabling a deeper understanding of spatial h...

Artificial Consciousness: The Missing Pieces 13.01.2025

Send us Fan Mail 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 and measuring consciousness in artificial syste...

Spiking Neural Networks: The Future of AI? 06.01.2025

Send us Fan Mail 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 p...

The Nvidia Way: From Gaming Chips to AI Domination 26.12.2024

Send us Fan Mail 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...

The Fundamental Particle of Consciousness 20.12.2024

Send us Fan Mail 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 In...

The problem of ML Model drift and decay in production 18.12.2024

Send us Fan Mail 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 two main causes of drift: data drift , where...

Quantum Computing and AI: A Symbiotic Leap Forward 16.12.2024

Send us Fan Mail 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 types of quantum computers and the unique capab...

Is AI the end of coding or the start of something else? 14.12.2024

Send us Fan Mail 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 Environments like Cursor. While these advancement...

The demise of Intel - first mobile and now AI 11.12.2024

Send us Fan Mail 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...

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