■ What is Artificial intelligence?

Artificial intelligence is the ability of a computer program A machine to think or learn  is the field of studies that tries to make a computer smarter they work on their own without being encoded with commands   in extremely  goal of Artificial intelligence is to create a computer program to learn solve problems and think logically artificial intelligence are various fields the computer science, neuroscience mathematics linguistics psychology, etc 

What is Artificial intelligence?

➤ Currently, Artificial intelligence has taken place in most industries majorly automobile machinery process of factories stabilization of ships and aircraft, and others with minimal or reduced human intervention This artificial intelligence has the potential to greatly improve our life intelligence will make the roads safer help in human medicine 82 disabled and elderly and Countless of the jobs which will require less labor force Sofia is one of the examples of artificial intelligence Sophia is a humanoid robot developed by hong kong  based company Hanson robotics Sofia is able to make more than 50 facial expressions is activated in 14th February 2016 

➤ The intelligence exhibited by machines is termed artificial intelligence  it induces the capability to think and learn in the Machines it refers that the machine will exhibit human intelligence Artificial intelligence came into existence in the year 1955 John McCarthy is regarded as the father of artificial intelligence he was a computer scientist in the United States of America AI aim to make the life of human beings more convenient there are very few chances of occurrence of error by using AI they work according to the commands given in form of programs Python programming language is widely used for AI at present 

■ How can artificial intelligence help doctors?

➤ Artificial intelligence helps doctors diagnose patients Pilots fly commercial aircraft in city planners project traffic with no matter what is doing the computer scientists design them like we don’t know exactly how to do this is because the order to show intelligence is often served on working of a simple set of instructions to create a unique array of rules and strategies so how exactly does the machine and there are many different ways to build of self-teaching programs but they all rely on the three basic types of machine learning unsupervised learning supervised learning and reinforcement learning to see these in action

let us imagine researchers are trying to pull information from a set of medical data containing thousands of patient profiles first up unsupervised learning this approach would  be ideal for analyzing all the  profiles to find general similarities and using patterns may be certain patients have similar disease presentation or perhaps treatments produces specific sets of side effects  this broad patters seeking approach can be used identify similarities between patient profiles and find emerging patterns all without human guidance but let’s imagine doctors are looking for something more specific 

➤ Can AI help with difficult diagnoses?

These physicians want to create an algorithm for diagnosing a particular condition they begin by Collecting two sets of data medical images and test results from both healthy patients and those diagnosed with the condition then they input this data into a program designed to identify features shared by the sick patients but not the healthy patients based on how frequently it sees certain features the program will assign values to those features Diagnostic significance generating an algorithm for diagnosing future patients however unlike unsupervised learning doctor and computer scientist have an active role in what happens next.

➤ Doctors will make the final check of  diagnosis and check the accuracy results of the prediction of the algorithm then computer scientists can use the updated datasets to adjust the parameters of the program and improve its accuracy this hands-on approach is called supervised learning

■ What are the benefits of using AI in healthcare?

➤ Now let these doctors want to design another algorithm to recommend treatment plans since these plans will be implemented in stages and they may change depending on each individual response to treatments the doctor decides to use reinforcement learning this program uses an iterative approach to gather feedback about which medications dosages and treatments are most effective then it compares that data against each patient’s profile to create a unique optimal treatment plan as the treatments  program  

➤ The  program receives  more feedback it can constantly update the plan for each patients  none  of these techniques are inherently smarter than any other while some require more or less human intervention they all have their own strengths and weaknesses which makes them best suited for the certain tasks however by using them together researchers can build Complex AI systems where the individual program can supervisors teach  each other

➤ For example when our unsupervised learning program find groups of patients that are similar could send that data to a connected supervised learning program that program could then  incorporate this information into its predictions or perhaps dozens of reinforcement learning program might Simulator potential patient outcomes to collect feedback about different treatments plans 

➤ There are numerous ways to create this machine learning system and perhaps the most promising models  are those that mimic the relationship between neurons in the brain these artificial neural networks use millions of connections to tackle a difficult tasks like image recognition speech recognition and even language translation however the more self-directed these models become the harder it is for computer scientists have determined how these self-taught Ai algorithms arrive at their solution researchers are already looking at ways to make machine learning more transparent but as

➤ AI becomes more involved in our everyday lives theses enigmatic decisions have an increasingly large impact on our work help and so as machines continue learning to investigate, negotiate  and communicate we must also consider how to teach them to teach each Other operator ethically today computers compiler spacecraft and perform surgery according to computer science is Alan Turing the real test of a computer is intelligence is basic small talk 

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