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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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When we say a machine "learns" from data, what's actually happening? What is the engine doing?
In this episode, we break down the fundamental building block of modern AI: the Neural Network. We explain it as a logical chain for synthesising information—from raw data like ECG signals in the 'input layer', to abstract concepts like 'high-risk' in the 'hidden layers', to a final diagnosis.
Understanding this basic architecture is key to knowing an AI's limits. It reveals why these systems are powerful pattern-finders but don't "understand" causality; a crucial distinction for clinical safety.
🎧 Ready to look under the bonnet of AI? Listen now to grasp the core concept behind almost every AI tool you'll encounter.
Music generated by Mubert https://mubert.com/render
#NeuralNetworks #AIinHealthcare #MachineLearning #MedEd #HealthTech #DigitalHealth #DataScience #ClinicalAI
51 episodes
