Mythbusters: 7 common myths about AI

Sebastian Schaal
Jun 6, 2018 · 7 min read

Myth #1: Artificial Intelligence, Machine Learning, Deep Learning is basically all the same

AI > ML > DL

Myth #2: AI learns from itself

The closest we get to the myth: Reinforcement Learning

Myth #3: Neural networks are like the human brain

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

Myth #4: We are close to Superintelligence

Myth #5: You need a gigantic amount of data

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

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

Myth #7: GAFAM rule everything

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

Conclusion

I guess everyone of us has already been victim to believing in a myth and consequently faced the embarrassing moment when we got challenged about it for the first time. With this post, I hope I could save you from some of those moments and gave you enough insights that you can now go out yourself and challenge others, who might still be subject to some of those myths. With a heated topic like AI, it is always a good idea to talk less fiction and more science for a change.

Luminovo

We solve business problems with the help of deep learning. No matter what stage your business is at, we help you realize the full potential of your data.

Sebastian Schaal

Written by

ML Enthusiast, Founder @ Luminovo | We make AI easily usable and widely used

Luminovo

Luminovo

We solve business problems with the help of deep learning. No matter what stage your business is at, we help you realize the full potential of your data.