What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? This is the first of a multi-part series explaining the fundamentals of deep learning by long-time tech journalist Michael Copeland. Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to. For example, when Google DeepMind’s AlphaGo program defeated South Korean Master Lee Se-dol in the board game Go earlier this year, the terms AI, machine learning, and deep learning were used in the media to describe how DeepMind won. And all three are part of the reason why AlphaGo trounced Lee Se-Dol. But they are not the same things. The easiest way to think of their relationship is to visualize them as concentric circles with AI — the idea that came first — the largest, then machine learning — which blossomed later, and finally deep learning — which is driving today’s AI explosion — fitting inside both.... https://blogs.nvidia.com/blog/2016/...telligence-machine-learning-deep-learning-ai/
To me it is interesting that the development of Machine Cognition is following perhaps a similar evolutionary path as to how the brain itself developed, i.e, in this modular form. The limbic brain is AI. More powerful connections allowing for deeper efficient search is Machine Learning. Then the cerebral cortex is Deep Learning. I think there is one more insight, and we have the Singularity. Or perhaps Quantum Computing in the middle layer, search, is all that is needed.
No one asks the questions, what is emotion, empathy, compassion, from a computational point of view. What is intuition? Penrose says these things cannot be done by von-Neuman style machines in his famous book, The Emperors New mind. In the next fifty years, we are going to find out.
I don't have a problem with your post directly above. I have misgivings about the comparison of 'the limbic brain' to 'AI'.
The idea "Artificial Intelligence" seems to be a step above "Machine Learning" (Neural Nets, Genetic Algorithms, Particle Swarm, VM's, etc.). The Term "Deep Learning" I've only herd in Neural Nets. Where the type of Neural layer is a "Deep Layer," it is also the most common layer to be used with Neural Nets. However, people can use those three terms as Synonyms, rather than pointing to three different groups of Artificial Intelligence. - Andrew
Hard to believe but 28 years ago, early in my career, I had an opportunity to move to an AI position and develop a manufacturing scheduling system. I had already developed math based optimization scheduling systems so the chance to schedule via a totally different approach was cool. We did an Expert System (ES) and ultimately installed it in a Factory of the Future (FOF) that ran with very few humans in the plant. We picked the brain of the guy who had scheduled the factory for 20 years and then developed heuristics and rules to do the scheduling. There was lots of automation with AGV's (Automated Guided Vehicles) and ASRS (Automated Storage and Retrieval Systems) and a ton of Robotics. I left to trade in the mid 90's and can only marvel at how much the entire field of AI has grown since that time.