From computerized translations to the possibility of automobiles that drive by themselves, the likely uses of this future technology seem to be countless; keep reading to learn about three of them.
When looking at the news regarding this breakthrough tech, one among the latest artificial intelligence applications which will seem very exciting is the one in the medical sector. In fact, there have definitely been ongoing research studies on the precision of AI in analysing things such as radiology scans and other kinds of tests, and the primary outcome seems to suggest that these systems might be as efficient and accurate, if not more, as trained human doctors. As people who have been involved in this sector, such as Tej Kohli of Grafix Softech, will be well aware of, this brings a huge prospect for the future of the healthcare industries, with an even earlier detection of potential symptoms which will make reliable treatments and recovery an awful lot easier. While the human component will not be fully replaced, the wider scale of operations granted by this form of automation will allow for a better and faster response to people’s needs.
We can definitely see some examples of artificial intelligence in business, particularly in industries that are really considering implementing much more automatic systems. For example, the concept of driverless cars has been mentioned widely in recent years, and the ongoing research on this characteristic technology suggests that it will be a reality in the relatively near future. Needless to say, for a system like this to work, extreme precision and instant communication is needed, which is most likely why something like the upcoming 5G and Internet of Things will be particularly advantageous. Men and women like John Krafcik of Waymo are involved in the advancement of these applications of artificial intelligence in robotics and vehicles. Previously this sort of technology becomes widespread, things like traffic congestions may be a lot less frequent.
One among the cool examples of artificial intelligence software that are continuously improving is found in the translation field. As you are probably aware, possibly from first hand experience, automatic translators are often incapable of completely grasping the intricacies of human language, especially in terms of tone inflexion or figurative language. One way in which this particular technology has been building, as men and women like Adolfo Hernandez of SDL Trados will be very familiar with, is by analysing human-generated translations and producing a whole database, to ensure that more rhetorical figures and common phrases will be recognisable and interpreted correctly. At this point in time, this is being used as a support for translators, who can access translation memories, termbases and glossaries as a reference to make their work faster, but focusing on the different machine learning fun facts, it might soon grow to be accurate enough to be a standalone technology.