AI Programming
What is AI? We drew you a flowchart to work it out The definition of artificial intelligence is constantly evolving, and the term often gets mangled, so we are here to help. What is AI, exactly? The question may seem basic, but the answer is kind of complicated.…
Machine learning, and its subset deep learning (basically machine learning on steroids), is incredibly powerful. It is the basis of many major breakthroughs, including facial recognition, hyper-realistic photo and voice synthesis, and AlphaGo, the program that beat the best human player in the complex game of Go. But it is also just a tiny fraction of what AI could be.
The grand idea is to develop something resembling human intelligence, which is often referred to as “artificial general intelligence,” or “AGI.” Some experts believe that machine learning and deep learning will eventually get us to AGI with enough data, but most would agree there are big missing pieces and it’s still a long way off. AI may have mastered Go, but in other ways it is still much dumber than a toddler.
In that sense, AI is also aspirational, and its definition is constantly evolving. What would have been considered AI in the past may not be considered AI today.
Because of this, the boundaries of AI can get really confusing, and the term often gets mangled to include any kind of algorithm or computer program. We can thank Silicon Valley for constantly inflating the capabilities of AI for its own convenience. (Cough, Mark Zuckerberg, cough.)
To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not.
The grand idea is to develop something resembling human intelligence, which is often referred to as “artificial general intelligence,” or “AGI.” Some experts believe that machine learning and deep learning will eventually get us to AGI with enough data, but most would agree there are big missing pieces and it’s still a long way off. AI may have mastered Go, but in other ways it is still much dumber than a toddler.
In that sense, AI is also aspirational, and its definition is constantly evolving. What would have been considered AI in the past may not be considered AI today.
Because of this, the boundaries of AI can get really confusing, and the term often gets mangled to include any kind of algorithm or computer program. We can thank Silicon Valley for constantly inflating the capabilities of AI for its own convenience. (Cough, Mark Zuckerberg, cough.)
To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not.
MIT Technology Review
What is machine learning?
Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart on “What is AI?” here.) What is the definition of machine learning?…
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