“Someday a computer will give a wrong answer to spare someone’s feelings and man will have created artificial intelligence”- Robert Brault
Artificial intelligence has become something of a buzzword within the recent decades, it is often associated with Hollywood’s depiction of a dystopic world, seen in movies like The Matrix and Ex Machina. However, most robotics experts and engineers do not share this view. To the people involved in designing artificially intelligent systems the field of AI is exciting and captivating.
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In this blog we will be discussing some of the top, new innovations in the field of Artificial Intelligence.
1. Facial Recognition Technology
Many of you may have already noticed that when uploading pictures onto Facebook you are sometimes met with a tag suggestion. Facebook has already recognized the people in the picture and is asking you to tag them. This is made possible by facial recognition technology. It is not just Facebook applying this innovation, Apple also recently started utilizing facial recognition technology with the development of the iPhone X. The iPhone X uses a dot projector which projects approximately 30,000 dots onto the user’s face and processes the data that it receives with a feature on the camera called a ‘flood illuminator’. This form of machine learning is being used by millions of people around the world to unlock their iPhone on a daily basis. According to Apple’s tech support website the chances of someone other than yourself being able to unlock your phone by looking at it is 1 in 1,000,000. It should however be noted that this process is not entirely accurate and is effected by image size, quality of image and even the angle at which the face is pointed relative to the camera.
2. Ad Recommendation
Advertisements can be found on just about every website or app that we use in our day to day lives, more and more these ads are being targeted directly to users based on their interests. When you visit a website such as Twitter or Instagram the ads that you see are no longer coded into the website itself but instead they exist on an outside server. Predefined shapes are left open in webpages to be filled by advertisements, which advertisement you see is determined by many factors such as the location of the viewer, the websites the viewer has visited in the past and even the device being used by the viewer. Innovations in this field have allowed companies to target specific audiences and in turn receive significantly more sale conversions.
3. Hybrid Could Management
Hybrid cloud technology uses a load balancer to distribute data among public and private environments while simultaneously allowing these systems to work in tandem. One of the key features of this technology is the interoperable compatibility between public and private clouds. Hybrid clouds are being used to assist companies which handle shipments, it allows the company to optimize their cyber organization and decrease the amount of time required to process shipments. According to IBM developer advocate Sai Vennam, other key features of this architecture include scalability, portability and security. This technology is not as easy to visualize as facial recognition or ad recommendations and may be less intuitive to people who are not software developers or technologically minded. For more information about Hybrid Clouds one can visit IBM’s website.
If you were skeptical that AI developers are trying to create an iRobot style dystopic future I hope that after reading this blog your concern has diminished at least slightly. Even though the field of robotics and machine learner is young and expanding quickly the goal of it is primarily to make day to day life easier. Since facial recognition technology can not work on someone who’s face is blurred and we have yet to develop a robot which can show true artistic expression a world where machines and humans still seems very far off and unlikely.