BELOW ARE 3 ARTIFICIAL INTELLIGENCE FACTS 2019 BROUGHT INTO THE PUBLIC EYE

Below are 3 artificial intelligence facts 2019 brought into the public eye

Below are 3 artificial intelligence facts 2019 brought into the public eye

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You may have heard about the theoretical concept of this brand new technology, but here you can learn more about some of its practical applications which are definitely being developed nowadays.

We can already view some examples of artificial intelligence in business, especially in markets that are really considering implementing much more automatic systems. For example, the idea of driverless cars has been mentioned extensively in recent years, and the ongoing research on this certain technology suggests that it will be a reality in the relatively not too distant future. For sure, for a system like this to work, extreme precision and instant interaction is needed, which is likely why something like the upcoming 5G and Internet of Things will be particularly useful. Individuals like John Krafcik of Waymo are involved in the development of these applications of artificial intelligence in robotics and vehicles. Previously this type of technology becomes widespread, events like traffic congestions can be an awful lot less regular.

One among the interesting examples of artificial intelligence software that are continually enhancing is found in the translation industry. As you are probably aware, possibly from first-hand experience, automatic translators are frequently incapable of entirely grasping the intricacies of human speech, especially in regard to tone inflexion or figurative language. One way in which this certain technology has been building, as individuals like Adolfo Hernandez of SDL Trados will be very familiar with, is by analysing human-generated translations and creating a huge database, to ensure that more rhetorical figures and common phrases will be recognisable and interpreted correctly. At present, this is being used as a assistance for translators, who can receive translation memories, termbases and glossaries as a reference to make their work faster, but looking at the various machine learning fun facts, it might soon turn out to be accurate enough to be a standalone technology.

When focusing on the news regarding this breakthrough tech, one of the latest artificial intelligence applications which will seem very fascinating is the one in the medical sector. In fact, there have undoubtedly been ongoing research studies on the precision of AI in examining things such as radiology scans and other kinds of tests, and the primary outcome seems to suggest that these systems can be as efficient and accurate, if not more, as trained human doctors. As people who have been involved in this field, such as Tej Kohli of Grafix Softech, will be well aware of, this brings a substantial prospect for the future of the health care industries, with an even earlier detection of potential symptoms which will make efficient treatments and recovery a lot easier. While the human element will not be fully replaced, the wider scale of operations provided by this sort of automation will allow for a better and faster response to people’s needs.

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