Much research in this field has led to new advances and improvements in this space, leading to the new research in the areas of artificial intelligence, machine intelligence, machine learning, and deep learning. But what do these words and terms mean? How are they related to each other?
This is the overarching term which encompasses all of these research areas. It is usually defined as the science of making computers complete tasks which usually require human intelligence, like learning, decision making and problem-solving.
Many data scientists believe that machine learning is a term interchangeable with artificial intelligence. The term machine intelligence tends to be more popular in Europe while artificial intelligence is more popular in the US. According to Research at Google, they are “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. Exploring theory as well as application, much of our work on language, speech, translation, visual processing, ranking, and prediction relies on machine intelligence.”
This sector of artificial intelligence refers to the software research area which allows algorithms to improve through self-learning using data without human intervention. An example of this is when a deep learning machine taught itself chess in 72 hours to play at International Master Level.
Deep learning is an offshoot of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Deep learning tries to copy the functions of the inner layers of the human brain. It’s been successful in areas like image recognition, language translation, and email security.
Artificial intelligence and related fields are expected to bring new levels of automation and personalization to all areas of our lives. If you’re interested in learning more, click through to our Twitter page, @Clickatell, where there’s a constant conversation around these topics.