#Art dabbler software free download trial
At the algorithmic level, we have only a shallow understanding of the issues, to be able to recognize patterns which human beings intuitively understand is piped dream in current scenario, leaps and bounds of research, observation, trial and error is required to mimic human brain but for now area of pattern recognition is still in its infancy. At the hardware level there are marked similarities between the eye and a camera (although there are differences too). A task which human beings can master by age eight, when they decode the firing of the different light receptors in the retina of the eye, this is computationally laborious task, and we have only the crudest ideas of how it is done. The problem is with the software, or more exactly with the algorithms which have to decide what the robot is looking at the input is an array of pixels, coloured dots, the software has to decide whether this is an image of a car or table. It is neither expensive nor technically difficult to connect a camera and frame grabber board to a computer, the robot’s `brain’. But equipping a robot with vision is easy only at the hardware level. In fact one might plausibly argue that a robot without sensors isn’t a real robot at all, whatever the hardware manufacturers may say. Robots without sensors have their uses, but they are limited and dangerous. We are able to create robots who can bolt parts together, paint cars, weld stuff but robots which are able to wash cars, dishes and able to cook for us are still far fetched fantasy, Pattern Classification, more often called Pattern Recognition, is the primary bottleneck in the task of automation. The forecasts of twenty years ago are looking fairly silly today: the fact that they were produced largely by journalists for the benefit of boardrooms of accountants and MBA’s may have something to do with this, but the question of why so little has been accomplished remains. Pattern recognition has majorly advanced automation industry but Automation i.e the use of robots in industry, has not progressed with the speed that many had hoped it would. One of the core aspect of a machine or computer to be considered intelligent is it’s ability to recognize pattern, formally termed as pattern recognition. This paper dabbles into areas of intelligence, machine learning, defining consciousness, AI used in expressing art, and what future holds in this area. All of these questions have been addressed and I have tried to provide a justifiable explanation to the aforementioned questions. Does having a consciousness necessary for intelligence and where is the future heading toward. But what actually is artificial intelligence, what does it means to be intelligent, what scope and capabilities define a machine to be intelligent. Even smart phones have AI in form of voice recognition and programs such as Watson, Siri etc which have been addressed by general public and luminaries alike of the advancement that artificial intelligence has made in recent year. Artificial intelligence or commonly called as AI has been a buzzword which can be heard and seen across various media platforms, technical reports, news, technical sites etc.