Neuroscience

Artificial intelligence predicts eye movements

A large amount of information constantly flows into our brain via the eyes. Scientists can measure the resulting brain activity using magnetic resonance imaging (MRI). The precise measurement of eye movements during an MRI ...

Surgery

AI could help clinicians with mechanical ventilation

Artificial intelligence could be used in future to help guide when to use mechanical ventilation and the likelihood of complications in ventilation of patients. This is according to the first systematic review of studies ...

Diseases, Conditions, Syndromes

New insights into kidney disease using tropical frog models

Using cutting-edge genetic engineering, UZH researchers have developed a model to study hereditary kidney disease with the help of tropical frogs. The method allows them to collect large amounts of data on anomalies, which ...

Oncology & Cancer

New study uses artificial intelligence to detect colorectal cancer

A Tulane University researcher has found that artificial intelligence can accurately detect and diagnose colorectal cancer from tissue scans as well or better than pathologists, according to a new study in the journal Nature ...

Cardiology

Imaging speeds lifesaving care to stroke victims

A commonly available imaging technique can identify stroke patients most likely to benefit from a procedure to restore blood flow, a potential breakthrough in care that could save thousands of lives every year, according ...

Neuroscience

Does the brain learn in the same way that machines learn?

Pinpointing how neural activity changes with learning is anything but black and white. Recently, some have posited that learning in the brain, or biological learning, can be thought of in terms of optimization, which is how ...

page 1 from 40

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.

This text uses material from Wikipedia, licensed under CC BY-SA