“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.
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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 di…
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, arch…
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 rec…
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 …
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, App…
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 als…
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 ca…
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 America…
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 recom…
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 strength…
In this episode, we explore capsule networks (CapsNets), an innovative advancement in artificial neural networks designed to overcome the limitations of traditional convolutional neural…
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 e…
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-ef…
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, …
In this episode, we explore the intricate relationship between neurons, intelligence, and consciousness. We talk about traditional views that associate consciousness with specific brain…
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 m…
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 t…
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 programmer…
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 boardr…
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 groundbreaki…