In cooperation with Venionaire Capital, DerBrutkasten.com publishes a four-part article series on the subject of artificial intelligence. We are concentrating on the economic aspects of how AI works to the current research and the future of artificial intelligence.
In the first article we described “Artificial Intelligence (AI)” as the ability of a machine to learn and adapt from its own experience. In this article we want to get deeper in the matter. AI consists of diverse technologies that are the result of a combination of three elements: comprehend, sense and act.
Language Processing and knowledge representation are important for comprehend. Natural Language Processing (NLP) combines technologies that are able to understand and generate speech in spoken or written form. Knowledge representation helps to communicate knowledge and facilitate subsequent decision-making, for example digital assistants.
Sense includes machine vision, voice recognition and further processing in sensors. This makes it possible to capture, identify, analyze and process the input information from cameras, microphones or other sensors.
Once information is collected through comprehending and sense, the logical third step is action. This is mainly used in industrial robotics, as Amazons show impressively.
These are the three pillars of the artificial intelligence According to Stuart Russel and Peter Norvig machines must also have specific abilities to act as a human being. Known in this context is the Turing Test from 1950, where a human questioner talkes with two unknown conversation partners. One of them is a person, the other one is a machine. If the questioner does not suceed in telling which of them is the machine, the machine wins. This test is now more than half a century old and we are still at the beginning of the development.
For the whole article click here.