AI is used now in lot of fields which includes gaming, Finances, expert systems, vision systems, speech recognition, robots, Health care and lot more. Using AI, we can reduce the maximum errors that occurs in the process, Artificial intelligence helps us in reducing the error and the shot of achieving exactness with a more prominent level of accuracy is a probability. It is applied in various studies such as exploration of space. AI along with robotics can be used in the fuel exploring process. We are already in the stage where we use the artificial intelligence in our daily life, the virtual assistance in the phones like siri, hey google, cortana all come under AI. The GPS system that we use for the navigation also uses the AI to display the map of the location in your device.
AI brought revolution changes in health care sector like producing images in giving accurate results and it also brought changes in monitoring the patient health with advanced tools which are bases on internet interactions by which patient’s health can be monitored for 24 hours in a day. Ai is also used in some jobs and also suitable for medical applications. It is clear that humans are not the best in all the task there is larger possibility of making mistakes, by the use of AI there is a possibility of true benefits.
AI will let us to more interpersonal and creative aspects of work. AI also helps the software industry, it helps the companies to develop code. AI is arguably the most exciting field in robotics. It reduces the human work. There are also research going on the self-drive car using the artificial intelligence. The best part of the AI is that this work 24/7 there won’t be any breaks, so it runs the business very effectively. AI techniques are used for the security for computers and the information and it also used in world of finances.
In the very near future all the daily applications will be filled with the help of AI, as discussed, the mobiles already started using the AI in them. Daniel B. Neill, “Using Artificial Intelligence to Improve Hospital Inpatient Care”. C. Sampada,, et al, ‘Adaptive Neuro-Fuzzy Intrusion Detection Systems’, Proceedings: International Conference on Information Technology: Coding and Computing (ITCC?04),2004. S. Niekum, S. Osentoski, G. Konidaris, S. Chitta, B. Marthi, and A. G. Barto, “Learning grounded finite-state representations from unstructured demonstrations,” The International Journal of Robotics Research, vol. 34, no. 2, pp. 131–157, 2015.
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