Machine Intelligence

What Does Machine Intelligence Mean?

Machine intelligence is an umbrella term that's used to describe the accuracy of a machine learning (ML), deep learning (DL) or classical algorithm output.

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In business-to-business (B2B) marketing, the term is also being used to describe a growing market segment for information technology (IT) vendors who specialize in machine learning and artificial intelligence as a service (MLaaS and AIaaS).

Techopedia Explains Machine Intelligence

To understand machine intelligence better, it is good to look at this term within the context of two other terms that are proliferating in today’s tech world – “artificial intelligence” and “machine learning.” Artificial intelligence is composed of systems that allow computers to imitate human cognitive processes or perform tasks that used to be done by humans. Machine learning is defined as systems that enable a computer system to learn from inputs, rather than being directed only by linear programming.

In this context, another way to explain “machine intelligence” is that through a basis of machine learning and artificial intelligence, the machine learns to work proactively. Theoretically, if a machine learns to extract various kinds of data to put together its own processes and arrive at its own conclusions, you could say that that constitutes machine intelligence based on both machine learning and artificial intelligence functionalities.

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Margaret Rouse

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.