In simple terms, the prime goal of artificial intelligence is to take inputs and optimize the way through which we achieve a particular goal or objective.
In the present times, the domain and applications of artificial intelligence have become multidisciplinary in nature.
While artificial intelligence is actively contributing to the field of computer science, psychology, and mathematics,
it is gaining much more in return from these fields.
It is said that the domain of artificial intelligence is so wide that its applications are limitless in nature. This article is an attempt to highlight some of the most prominent applications of artificial intelligence.
Advancement in virtual assistants
Chatbots or virtual assistants have become much advanced in the age of industry 4.0. Siri and Alexa are gaining prominence because of their ability to control the various components of an automated ecosystem in a smart city.
The power of AI has been greatly harnessed in the translation of language into various outcomes.
In modern smart homes, various types of appliances are controlled with the help of the natural language processing capabilities of chatbots.
In addition to this, chatbots can play a particular genre of songs and even regulate the speed of air conditioning.
They can make phone calls and even assess weather conditions. If this was not enough, a virtual assistant can also engage in a personalized communication and dialogue with its owner.
Have you ever imagined why the number of space missions has exponentially increased in the recent past? The answer lies in advances in AI and machine learning and their application in space exploration.
For instance, the amount of data generated by space telescopes is extremely diverse and voluminous. It was difficult to process such a voluminous amount of data in the past. However, AI.
The application of AI in travel and logistics is overwhelming. With the help of AI tools, we are able to model different kinds of dynamic pricing mechanisms for the pricing of flight tickets.
The biggest airports of the world are completely dependent on
AI for routing and re-routing of different flights and controlling air traffic.
Artificial intelligence is also important to assess the level of traffic on the roads and alert the drivers in advance so that they can take other routes.
The communication of different types of traffic lights with each other is also possible with the help of artificial intelligence even though they are located in different parts of the city.
In addition to this, AI is also at the center of the development of various logistics applications that are operated by various travel agencies and enterprises.
The most advanced infrastructure in a smart city is dependent on AI for its operation.
Ranging from smart locking systems to the remote controlling of home appliances, applications of artificial intelligence are on a constant rise.
Not only does artificial intelligence contribute to energy savings but it also helps in optimizing other resources and operations. The greenfield development and the brownfield development in a smart city are intricately related to the applications of artificial intelligence.
The underlying infrastructure in a smart city that automates the functioning of education, healthcare, and logistics systems owes its construction to artificial intelligence.
Similarly, the financial system in a smart city is fully controlled by applications of AI.
This not only helps to detect anomalies and frauds but also provides additional layers of security to the cloud systems. The smart infrastructure of hospitals that executes robotic surgeries and precise medication is also an AI success story.
Moreover, the digital learning systems that utilize the power of augmented reality
and virtual reality as learning aids are also the outcomes of artificial intelligence.
By creating a virtual and immersive learning experience, students are made to think and understand beyond orthodox textbooks.
The applications of artificial intelligence are heralding a new dawn in the present technological era and leading to the next data revolution.