Mythbusters: 7 Common Myths about AI

Sebastian Schaal
Jun 6, 2018 · 7 min read
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Myth #1: Artificial Intelligence, Machine Learning, Deep Learning is basically all the same

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AI > ML > DL

Myth #2: AI learns from itself

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The closest we get to the myth: Reinforcement Learning

Myth #3: Neural networks are like the human brain

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Illustrations of a biological neuron (left) and an artificial neuron (right)

Myth #4: We are close to Superintelligence

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Myth #5: You need a gigantic amount of data

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A neural network, consisting of two parts: a pre-trained model, which does the heavy lifting, followed by a NanoNet that is fine-tuned to a specific use-case.

Myth #6: AI is a black box

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Bottom: illustration of a deep neural network, Top: visualizations of its intermediate representations

Myth #7: GAFAM rule everything

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GAFAM: Google, Apple, Facebook, Amazon, and Microsoft with their respective deep learning frameworks Tensorflow, Core ML, PyTorch, MXNet, and CNTK

Conclusion

Luminovo

Accelerating Technical Progress — From AI to Electronics

Sebastian Schaal

Written by

Founder @ Luminovo | Previously @ McKinsey, Intel, Magazino, & NavVis | M.Sc. from Stanford & TUM | Machine Learning & Electronics Enthusiast

Luminovo

Luminovo

We bring innovations faster to everyone by reducing the time and resources needed to go from an idea to a market-ready electronic circuit board.

Sebastian Schaal

Written by

Founder @ Luminovo | Previously @ McKinsey, Intel, Magazino, & NavVis | M.Sc. from Stanford & TUM | Machine Learning & Electronics Enthusiast

Luminovo

Luminovo

We bring innovations faster to everyone by reducing the time and resources needed to go from an idea to a market-ready electronic circuit board.

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