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Saturday, July 08, 2017

Artificial intelligence: The engine of growth | Daily Sabah - Life - Science

Artificial intelligence technology has the potential to spur growth in a wide range of fields including manufacturing robots, security solutions, customer relations and natural language perception. In 2016, an estimated $8 billion was invested on AI. That amount is likely to grow exponentially and reach at least $50 billion over the next four years


Photo: Timur SIRT
"During my years at Istanbul Technical University, a friend of mine in the electronics engineering department was writing his master's thesis on Artificial Intelligence (AI). That was my first encounter with the subject" says Timur SIRT, journalist.

Photo: Daily Sabah
In 1998, Cogito, a quarterly magazine published by Yapı Kredi Publications (YKY), released an issue on AI with a special emphasis on its relationship with philosophy and art.

Over the years, AI has become one of the most popular subjects and a key to growth in the business world. From robots to smart loudspeakers, perceiving the natural language and devices that can learn quickly to adjust to the changing production conditions all have AI at their core.

According to Forrester Research, investments in AI are expected to increase by nearly 300 percent in 2017, compared to 2016 and according to estimations from the International Data Corporation (IDC), the overall investments in AI, which was $8 billion in 2016, will reach $47 billion in 2020.

Competition Gets SmarterFigures indicate that an increased use of AI in the business world is inevitable. Employing AI in each and every step of business, from production to customer relations, will be a must in order to compete with flexibility, in line with the changing customer demands.

Aside from private sector, public institutions may also benefit from AI while providing basic services to citizens such as health care, education, and justice.

By using AI, a machine can engage in deep learning by using computational models known as artificial neural nets, which are inspired by the structure and functions of a living brain.

With deep learning, machines can also perform specialized tasks, such as classification of data including audio and visual materials, signals and texts, object recognition, voice recognition and translation of languages with a minimum margin of error. For instance, when a move is taught to a machine with the deep reinforcement learning method, each successful movement is given plus points while failing moves are given minus points. So, the machine learns the relevant move by aiming to increase plus points.

Robotic learning speeds up
With AI robots can learn more quickly and in detail, increasing their ability to adjust to changing production conditions quickly, make faster diagnostic checks and contribute to the development of all kinds of solutions, from smart automobiles to satellite systems.
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Source: Daily Sabah


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