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I have read the term "machine intelligence" in a few places, e.g. https://web.archive.org/web/20170219022131/https://research.google.com/pubs/MachineIntelligence.html:

Research at Google is at the forefront of innovation in Machine Intelligence, with active research exploring virtually all aspects of machine learning, including deep learning and more classical algorithms.

What is the difference between artificial intelligence and machine intelligence?

I'm not sure if machine intelligence is a rebranding of artificial intelligence, machine learning, or if it means something else.

amoeba
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Franck Dernoncourt
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    Aren't they the same thing?? – SmallChess Feb 19 '17 at 05:15
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    [Closing a terminology question as primarily opinion-based vs. writing an answer explaining why it is primarily opinion-based?](http://meta.stats.stackexchange.com/q/4630/12359) – Franck Dernoncourt Feb 19 '17 at 16:29
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    I've never seen them explicitly defined, but I get the sense that ML are predictive statistical tools, which can be aggregated together as building blocks for AI. – generic_user Feb 19 '17 at 20:13
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    New buzzword for statistics/machine learning/deep learning etc. Probably in 2019 we’ll call it differently, but the new word did not emerge yet. – Tim Jan 16 '18 at 09:33
  • it is the same difference, unless someone build AI that is not with machine, e.g. grow some mushrooms that start thinking – Aksakal Feb 23 '18 at 21:22

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Nice, provocative, definition is given by Yonatan Zunger in his Asking the Right Questions About AI article posted on Medium.com:

... I’m going to use the terms “artificial intelligence” (AI) and “machine learning” (ML) more or less interchangeably. There’s a stupid reason these terms mean almost the same thing: it’s that “artificial intelligence” has historically been defined as “whatever computers can’t do yet.” For years, people argued that it would take true artificial intelligence to play chess, or simulate conversations, or recognize images; every time one of those things actually happened, the goalposts got moved. The phrase “artificial intelligence” was just too frightening: it cut too close, perhaps, to the way we define ourselves, and what makes us different as humans. So at some point, professionals started using the term “machine learning” to avoid the entire conversation, and it stuck.

Tim
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Artificial intelligence (AI) in their highly cited book by that name has been described by Stuart J. Russell and Peter Norvig as intelligent agent design consisting of the following:

The unifying theme of the book is the concept of an intelligent agent. In this view, the problem of AI is to describe and build agents that receive precepts from the environment and perform actions. Each such agent is implemented by a function that maps percepts to actions, and we cover different ways to represent these functions, such as production systems, reactive agents, logical planners, neural networks, and decision-theoretic systems. We explain the role of learning as extending the reach of the designer into unknown environments, and show how it constrains agent design, favoring explicit knowledge representation and reasoning. We treat robotics and vision not as independently defined problems, but as occurring in the service of goal achievement. We stress the importance of the task environment characteristics in determining the appropriate agent design.

In contrast to AI the term machine intelligence appears in a more sub-specialized or mechanical computational context, for example a natural language translation machine, a Turning machine, and more generally Raymond Kurzweil's (1990) Age of Intelligent Machines treats AI in the context of computer science and intellectual history in general.

I suppose one could claim that not every artifice is silicon based, that some could be constructed from biological neurons grown in a Petri dish, in which case we could construct an artificial intelligence that is not especially a machine intelligence. In other words, not every artifice is a machine.

Nikolas Rieble
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Carl
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Difference between AI & ML

Artificial Intelligence : The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think. There is a misconception that Artificial Intelligence is a system, but it is not a system .AI is implemented in the system. There can be so many definition of AI, one definition can be “It is the study of how to train the computers so that computers can do things which at present human can do better.”Therefore It is a intelligence where we want to add all the capabilities to machine that human contain.

Machine Learning : Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience. Here we can generate a program by integrating input and output of that program. One of the simple definition of the Machine Learning is “Machine Learning is said to learn from experience E w.r.t some class of task T and a performance measure P if learners performance at the task in the class as measured by P improves with experiences.”

Click on the link to know more:http://snip.ly/94wpqt

Rahul Reddy
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