Hosted by Unknown Host · 🇺🇸 US · EN-US · 26 episodes
Established thought leaders with verified media credentials.
AI Deconstructed demystifies the complex world of artificial intelligence. We break down everything from neural networks to large language models into simple, understandable episodes. Whether you're a student or just curious, join us to learn how AI really works, one concept at a time.
Unknown Host hosts AI Deconstructed, a technology show with 26 episodes published.
In our series finale, we tackle the most critical challenge in artificial intelligence: the alignment problem. As AI systems surpass human capabilities, how do we ensure their goals, values, and objectives remain aligned
AI systems are not neutral. This episode moves from technical mechanisms to societal impact, exploring how algorithmic bias arises from human data and design. We will deconstruct real-world cases of AI-driven discriminat
We deconstruct the generative AI revolution behind DALL-E, Midjourney, and Stable Diffusion. This episode explores Diffusion Models, explaining the elegant, two-part process of destroying an image with noise and training
We move beyond AI that analyzes and into AI that *creates*. This episode deconstructs the two foundational models of generative AI: Generative Adversarial Networks (GANs), which learn through a "forger and detective" gam
This episode moves from the Transformer architecture to the models that define our era: Large Language Models (LLMs). We explore how the simple act of "next-word prediction," when combined with internet-scale data and ma
This episode deconstructs the 2017 paper that revolutionized AI. We go "under the hood" of the Transformer architecture, moving beyond the sequential bottleneck of RNNs to understand its parallel processing and the core
We move AI from the abstract world of data to the physical world of matter. This episode deconstructs Embodied AI, exploring the deep connection between intelligence, a physical body, and real-world interaction. Discover
Simple RNNs are fatally flawed; they have the memory of a goldfish. This episode dives "under the hood" to diagnose the "vanishing gradient problem" that causes this amnesia and systematically deconstructs its solution:
Journey beyond static data to explore the world of sequences, where order is everything. This episode deconstructs the Recurrent Neural Network, or R N N, the revolutionary architecture that gives AI a form of memory. Di
Last episode, we learned what a Convolutional Neural Network (CNN) is. Now, we go under the hood to deconstruct its two most critical components: the convolutional layer and the pooling layer. You'll learn how these laye
We shift from generalized deep learning to specialized architectures, starting with how machines interpret the visual world. This episode dives into Computer Vision and the revolutionary Convolutional Neural Network, or
Why can a 100-layer neural network be no smarter than a single neuron? The answer lies in linearity. This episode deconstructs activation functions, the essential components that introduce non-linearity and allow network
How does a neural network with millions of parameters actually learn from its mistakes? This episode dives under the hood of deep learning's core engine, demystifying the two algorithms that make it all possible: Gradien
We confront a simple puzzle that nearly killed neural networks: the XOR problem. Discover why the single Perceptron failed and how the Multi-Layer Perceptron (MLP), by adding hidden layers, provided the elegant solution
How does an artificial brain learn? Our deep dive into neural networks begins with the Perceptron, the original artificial neuron from 1958. We'll deconstruct this fundamental algorithm, exploring how it mimics a biologi
This episode deconstructs Reinforcement Learning (RL), the third and final paradigm of machine learning. We explore how an "agent" learns to make optimal decisions by interacting with an "environment" and receiving rewar
What if you have a mountain of data but no "answer key"? This is the challenge of unsupervised learning. In this episode, we move beyond the labeled world of supervised learning to explore how algorithms discover hidden
Discover supervised learning, the most common type of machine learning that powers everything from spam filters to medical diagnoses. We'll deconstruct how AI learns from labeled data—a "teacher's answer key"—and master
This episode marks a critical pivot from classical AI's hand-crafted rules to the data-driven world of Machine Learning. We explore why the old paradigm failed and how ML algorithms learn patterns directly from data. You
How does an AI system move beyond processing data to actually *knowing* something? This episode explores Knowledge Representation and Reasoning, or KRR, the classical AI discipline of translating the real world into a st
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AI Deconstructed is hosted by Unknown Host. The show is categorised under technology and has published 26 episodes.
AI Deconstructed has published 26 episodes.
AI Deconstructed regularly covers technology. It sits in the technology category.
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Episodes of AI Deconstructed average 40 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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