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The Future of IT
by Prahi Patil Ethans Tech - Learn from ExpertThe field of Information Technology (IT) has been growing ever since the launch of the internet in the form of ARPANET in the dorm rooms of the University of California Los Angeles (UCLA) and the University of Stanford. In the span of just 60 years, computers have undergone a massive transformation from the room sized behemoths of the 1960s to the smart watches of 2019. In matters of hardware, we hardly have any room for more progress now since our microprocessors have reached the atomic scale and cannot be made any smaller. In fact, 3x1015 calculations would be required to emulate a human brain, and the world’s fastest supercomputer can do 2x1017 calculations per second. All that’s left is the coding for it. If you are interested in this, you may want to enroll for machine learning training in Pune since Artificial Intelligence (AI) is the future of IT. Let’s take a deeper look at it:
Origin of AI and the Turing Test
The concept of AI was first developed by the great English mathematician Alan Turing who also gave us the famous Turing Test. According to Turing, an AI could only be called a true General AI if a human person who was blindfolded and made to talk to the AI couldn’t tell if it was human or not. Currently, the only programs that were able to pass the Turing Test are chat bots, who are in no way intelligent. Google’s Duplex Demo recently used the Deep Mind AI to synthesize speech while on a phone call and almost passed the Turing Test. Unfortunately, it still sounded rather robotic at certain points of the conversation which made it fail.
A Brief Look at the Future
When we look at the future of AI, it is extremely uncertain, and this is the reason many futurists have dubbed it the ‘Singularity’. In General Relativity, a branch of physics developed by Albert Einstein, the Singularity is the point in a black hole where all laws of physics break down and everything is uncertain; hence the analogy.
What we do know about the future of AI is that once a General AI is developed using machine learning, it will take a day or two to become more intelligent than all the humans that ever existed combined would be. After that, AI can either be benevolent or malevolent, which brings the needs for safeguards. Machine Learning and AI developers need to focus on their field alone, and therefore, there is a need for developers to manage the safeguards and to ensure that there are no bugs in the code. This is done by the DevOps experts. If you aren’t into machine learning and still wish to help make AI a reality, you could enroll for DevOps training in Pune to learn about programming ethics and safeguards.
Hopefully this article gave you the necessary information to pursue a career in IT.
Origin of AI and the Turing Test
The concept of AI was first developed by the great English mathematician Alan Turing who also gave us the famous Turing Test. According to Turing, an AI could only be called a true General AI if a human person who was blindfolded and made to talk to the AI couldn’t tell if it was human or not. Currently, the only programs that were able to pass the Turing Test are chat bots, who are in no way intelligent. Google’s Duplex Demo recently used the Deep Mind AI to synthesize speech while on a phone call and almost passed the Turing Test. Unfortunately, it still sounded rather robotic at certain points of the conversation which made it fail.
A Brief Look at the Future
When we look at the future of AI, it is extremely uncertain, and this is the reason many futurists have dubbed it the ‘Singularity’. In General Relativity, a branch of physics developed by Albert Einstein, the Singularity is the point in a black hole where all laws of physics break down and everything is uncertain; hence the analogy.
What we do know about the future of AI is that once a General AI is developed using machine learning, it will take a day or two to become more intelligent than all the humans that ever existed combined would be. After that, AI can either be benevolent or malevolent, which brings the needs for safeguards. Machine Learning and AI developers need to focus on their field alone, and therefore, there is a need for developers to manage the safeguards and to ensure that there are no bugs in the code. This is done by the DevOps experts. If you aren’t into machine learning and still wish to help make AI a reality, you could enroll for DevOps training in Pune to learn about programming ethics and safeguards.
Hopefully this article gave you the necessary information to pursue a career in IT.
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About Prahi Patil 
Ethans Tech - Learn from Expert
4 connections, 0 recommendations, 24 honor points.Joined APSense since, December 6th, 2018, From Pune, India.
Created on Apr 26th 2019 04:46. Viewed 458 times.
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