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AI Deconstructed
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EP11 - The Perceptron: AI's Original Artificial Neuron

39 min•26 juli 2025
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 biological brain cell to make simple decisions and learns from its mistakes, establishing the bedrock concept for all modern AI.

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EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future
•43 min
EP24 - AI Ethics: Decoding Algorithmic Bias, Fairness, and Accountability
•34 min
EP23 - Generative AI (Part 2): Diffusion Models and the Art of Denoising
•39 min
EP22 - Generative AI Part 1: GAN and VAE Creative Architectures
•22 min
EP21 - Large Language Models and The Power of Scale
•32 min
EP20 - The Transformer Architecture: Attention is All You Need
•28 min
EP19 - Robotics and Embodied AI: Giving AI a Body
•40 min
EP18 - LSTMs and the Vanishing Gradient: Solving AI's Long-Term Memory Problem
•33 min
EP17 - Recurrent Neural Networks: How AI Learns to Remember the Past
•45 min
EP16 - The CNN Engine: Inside Convolutional and Pooling Layers
•45 min

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