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Thursday, 9 July 2020

Applications of Artificial Intelligence in the real world  


Applications of Artificial Intelligence in the Real World


Hello everyone, In today's session, we are going to see applications of artificial intelligence. 


So the topics that we are going to cover in today's session are types of artificial intelligence artificial intelligence-related trends and technologies and applications of artificial intelligence. 


So without wasting time, we'll start with an overview of artificial intelligence. 


Artificial Intelligence is the simulation of one intelligence process by machines, especially computer systems. This possesses learning reasoning and self-correction.



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Some of the applications of artificial intelligence include expert system speech recognition and machine vision. Artificial intelligence is advancing dramatically; it is already transforming our world socially, economically, and politically.



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 Artificial intelligence was coined by John McCarthy, an American computer scientist in 1956 at The Dartmouth Conference, where the discipline was born. 


Today it is an umbrella term that encompasses everything from robotic process automation with actual robotics.


Artificial Intelligence can perform tasks such as identifying patterns in the data more efficiently than humans enabling businesses to gain more insight out of their data now. Let's move to types of artificial intelligence.


Artificial Intelligence can be classified in several ways the first classifies the artificial intelligence as either weak artificial intelligence or sharp artificial intelligence weak artificial intelligence, also known as narrow artificial intelligence.


It is an AI system that designed and trained for a specific type of task sharp artificial intelligence is known as artificial general intelligence.


It is an AI system with generalized one cognitive abilities so that when presented with unfamiliar tasks, it has enough intelligence to find a solution.


Artificial Intelligence is categorized into the four types these are as follows type 1- reactive machines it is an example of Deep Blue, an IBM chess program that can identify pieces on the chessboard and can make predictions accordingly. Still, the major fault with this is that it has no memory and cannot use past experiences to inform the future.


Ones it also analyzes possible moves of its own and its opponent deep blue and AlphaGO designed for nano purposes and cannot easily be applied to any other solution, the next type is limited memory.


This artificial intelligence system can use past experiences to inform future decisions. Most of the decision-making functions in autonomous vehicles have been designed in this way.


The next type is the theory of mind; this is a psychology term that refers to the understanding like others in their benefits and intentions that impact the decision.


 They make the fourth type is self-awareness in this category AI system has a sense of self have consciousness machine with self-awareness understand.


Their current state and can use the information to infer what others are feeling now let's move to the artificial intelligence technologies.


The market for artificial intelligence technologies is flourishing artificial intelligence involves a variety of techniques and tools.


Some of the recent technologies are as follows natural language generation; it is a tool that produces text from the computer data currently used in customer service report generation and summarizing the business intelligence insights. 


Next is speech recognition. It transcribes and transforms human speech into a format useful for computer application presently used is an interactive voice response system and mobile apps.


Next is a virtual agent it is a computer-generated animated artificial intelligence virtual character that serves as an online customer service representative it leads an intelligent conversation with the user's response to their question and performs adequate nonverbal behavior.


The next is machine learning. It provides algorithms API and training toolkits data as well as computing power to design train and deploy the models into the application processes and other machines.


The next is deep learning platform a particular type of machine learning consists of an artificial neural network with multiple abstraction layers it is currently used in the pattern recognition and classifications application supported by massive datasets.


The next AI-related technology is biometrics. It uses methods for unique recognition of human-based upon one or more intrinsic physical or behavioral traits in computer science.


Particularly biometric is used as a form of identity access management and access control. It is also used to identify individuals in the group that is under the surveillance currently used in market research.


The next is robotic process automation using a script and other methods to automating one action to support efficient business processes it is currently used where it is inefficient for a human to execute a task.


The next technology is a text analytics and natural language processing NLP uses and support text analytics by facilitating.


Now let's see the applications of artificial intelligence first artificial intelligence in healthcare companies are applying machine learning to make better and faster diagnoses than humans. One of the best-known technologies is IBM's Watson.


It understands the natural language and can respond to the questions asked of it the system mines patient's data and other available data sources from hypotheses which are then present with a confidence score schema.


AI is a study that realizes to emulate human intelligence into computer technology that could assist both the doctor and the patients in various ways.


Such as by providing a laboratory for examination by devising a novel tool to support decision-making and research by integrating the activities in medical software and cognitive science by offering a Content-rich discipline for the future scientific medical communities.


Secondly, artificial intelligence in business robotic process automation is being applied to highly repetitive tasks usually performed by humans machine learning algorithms are being integrated into analytics and CRM that is customer relationship management.


Platform to uncover the information on how to serve customers better Chatbots have already been incorporated into websites, and e companies to provide immediate service to the customer's automation of job positions have also become a talking point among the academic and IT consultancies. 


The third is artificial intelligence in education; it automates Grading giving the educators more time; it can also access students and adapts to their needs helping them work at their own pace.


The fourth application is artificial intelligence in autonomous vehicles, just like human self-driving cars need to have sensors to understand the world around them and the brain to collect the processes and choose the specific actions based on the information gathered.


Autonomous vehicles are with advanced tools to gather the information, including long-range radar cameras and LIDAR. Each of these technologies is used in different capacities. Each collects the different information the next application of AI is for robotics; it allows us to address.


The challenges in taking care of an aging population and allow much longer in between dependence it will drastically reduce maybe even bring down traffic accidents by days as well as enable the disaster response for the in danger situation.


For example, the nuclear meltdown and the Fukushima power plant the next is cyborg technology, one of the main limitations of being human.

It's only our bodies, and green researcher thinks that in the future, we will able to operate ourselves with computers and enhance many of our natural abilities in future predictive analytics.


Artificial intelligence could play an even more fundamental role in content creation. Also, in the software fields, open-source information and artificial intelligence collection will provide opportunities for global technological parity and the technology of synthetic yet become the future in all the domains of health environment public safety and security.


Thanks for Reading!

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