Understanding AI, ML, and Machine Intelligence

What is Machine Intelligence?

Machine intelligence is advanced computing that enables a technology (a machine, device, or algorithm) to interact with its environment intelligently, meaning it can take actions to maximize its chance of successfully achieving its goals.

The concept of machine intelligence highlights the intersection of machine learning and artificial intelligence, as well as the broad spectrum of opportunities and approaches in the field.

What is Artificial Intelligence?

Artificial intelligence is a discipline of computing science that allows a system to complete tasks we typically associate with cognitive functions – such as reasoning, strategizing and problem-solving, without requiring an explicit solution for every variation. These algorithms, processes and methodologies allow a computer system to perform tasks that would normally require advanced intellect.

What is Machine Learning?

Machine learning is a set of computational techniques, within a larger system, that use data to create models that make predictions about future data. These models independently learn and can be made to continuously adapt to changing environments without being explicitly programmed for the data they encounter. Machine learning is a crucial component in many artificial intelligence systems.

Where is Machine Learning Used?

Recommender systems (e.g. Netflix or Amazon)
Contextual web searches (e.g. Google)
Intelligent digital assistants (e.g. Cortana or Siri)
Game-playing AI (e.g. AlphaGo or Cepheus)
Autonomous vehicles
Email spam filters

Why is Machine Learning Important?

Industry is particularly interested in adopting applied machine learning, and investing in advanced research in the field, because of the focus on using historical data to inform future opportunities for systems improvement, discoveries, and augmenting human-cognitive capacity. ML enables a variety of tasks, including: