Mystery of Martian glaciers revealed

In a new paper published today in the Proceedings of the National Academies of ScienceS (PNAS), planetary geologist Joe Levy, assistant professor of geology at Colgate University, reveals a groundbreaking new analysis of ...

Artificial intelligence beats us in chess, but not in memory

In the last decades, artificial intelligence has shown to be very good at achieving exceptional goals in several fields. Chess is one of them: in 1996, for the first time, the computer Deep Blue beat a human player, chess ...

Using neural networks for faster X-ray imaging

A team of scientists from Argonne is using artificial intelligence to decode X-ray images faster, which could aid innovations in medicine, materials and energy.

Artificial intelligence puts focus on the life of insects

Scientists are combining artificial intelligence and advanced computer technology with biological know how to identify insects with supernatural speed. This opens up new possibilities for describing unknown species and for ...

Digitalization did not increase productivity as expected

Big data, the Internet of Things (IoT), the Industrial Internet and Industry 4.0 and later, 5G and artificial intelligence were presented as drivers of productivity, and experts predicted that the productivity of industry ...

Determining the slenderization of wood pulp

Researchers from the Institute of Scientific and Industrial Research at Osaka University have devised a new method to determine the degree of fibrillation in wood pulp. By taking advantage of the intrinsic optical birefringence ...

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Artificial intelligence

Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines."

The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine. This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity. Artificial intelligence has been the subject of breathtaking optimism, has suffered stunning setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.

AI research is highly technical and specialized, so much so that some critics decry the "fragmentation" of the field. Subfields of AI are organized around particular problems, the application of particular tools and around longstanding theoretical differences of opinion. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or "strong AI") is still a long-term goal of (some) research, while many researchers no longer believe that this is possible.

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