Artificial Intelligence In Technology

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Artificial intelligence is one of the most rapidly emerging technologies in the modern era. The concept of computers being able to think and act in a manner similar to humans provides a glimpse of a more technologically advanced future while simultaneously raising many important questions that we will have to answer in the coming years. In particular, what will happen when we give computers ability to think? Many people associate artificial intelligence with entities like the T-800 and HAL 9000 from the films The Terminator and 2001: A Space Odyssey and see the development of a computer capable of independent thought as signaling “the end times”. With concerns like these and the concept of artificial intelligence appearing as a technology of …show more content…

With technologies like the autopilot in some airplanes, collision detection systems in newer cars, and computer navigation systems in other forms of transportation, computers are forced to collect and compute data to make decisions pertaining to the way that the vehicle will act. Quite possibly the best-known example of the use of artificial intelligence in technology is in the emerging field of autonomous cars. Companies like Google and Tesla have fielded their “Self-Driving Car” and “Autopilot” system respectively. Vehicles like these are powered by a technology known as Artificial Neural Networks that attempt to mimic the human brain and allow computers to learn how to drive by watching humans. The end goal of these developments is to create the “roads of the future”, in which one could watch a highway from a bird’s eye view and see autonomous cars and connected road features (lighting, signs, notices, etc.) communicating with each other and acting in perfect harmony as passengers and goods are delivered to their destination, making unpleasant events like automotive accidents and traffic jams a relic of a bygone …show more content…

Computers can use market data to predict market trends and manage finances with a greater degree of efficiency and accuracy than most humans are capable of. The straightforward nature and abundance of financial data make it an ideal candidate for being subject to computer automation and prediction (in the case of market analysis). An example of this automation can be seen with J.P. Morgan Chase & Co. Bank with their machine learning and processing system named COIN. Using this system, J.P. Morgan has been able to cut 360,000 man hours per year of mundane financial tasks while also reducing the number of errors it makes in contracts every year. Further illustrating the role that it has come to play in the bank’s day-to-day operations, Matt Zames, J.P. Morgan’s CTO stated, “We’re starting to see the fruits of our labor. This isn’t pie-in-the-sky

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