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AI Deconstructed
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EP17 - Recurrent Neural Networks: How AI Learns to Remember the Past

45 min•6 september 2025
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. Discover how R N Ns process language, speech, and time-series data by maintaining a quote hidden state, end quote, and understand the fundamental limitations that paved the way for 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
EP16 - The CNN Engine: Inside Convolutional and Pooling Layers
•45 min
EP15 - The Convolutional Revolution: How CNNs Gave AI Vision
•40 min

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