Everything You Need To Know About Artificial Intelligence!


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I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain works.” – Geoffrey Hinton, Famous AI Scientist.

Artificial intelligence (AI) is a wide-ranging department of computer science pertaining to the formation of smart machines capable of executing tasks that typically need human intelligence. You might be curious to know what artificial intelligence defines. It is an interdisciplinary science with numerous approaches, however, developments in machine learning and wide learning are building a paradigm change in virtually every sector of the industry of tech. 

Functions of Artificial Intelligence

Less than a decade after halting the Nazi encryption machine Enigma and assisting the Allied Forces to win World War II, mathematician Alan Turing altered history a second time with a simple question: “Can machines think?”  Turing’s paper “Computing Machinery and Intelligence” (1950), and its following Turing Test, established the main goal and concept of artificial intelligence.   

Artificial intelligence is the department of computer science that intends to answer Turing’s question in affirmation. It is an effort to replicate or emulate human intelligence in appliances or machines. The comprehensive goal of artificial intelligence has given rise to many questions and debates. So much so, that no particular definition of the field is universally acknowledged.  The primary limitation in defining AI as simply “building machines that are intelligent” is that it doesn’t entirely explain what artificial intelligence is? What makes a machine intelligent?

Artificial Intelligence- A Modern Approach

Artificial Intelligence: A Modern Approach, a groundbreaking text whose authors Stuart Russell and Peter Norvig address the question by centralizing their work around the principle of intelligent agents in machines. In consequence, AI is “the study of agents that receive precepts from the environment and perform actions.” (Russel and Norvig viii)

Norvig and Russell go on to examine four different approaches that have historically interpreted the field of AI: 

  1. Thinking humanly
  2. Thinking rationally
  3. Acting humanly
  4. Acting rationally

The first two ideas concern thought techniques and reasoning, while others deal with the behavior. Norvig and Russell point especially to reasonable agents that work to accomplish the best result, quoting “all the skills needed for the Turing Test also allow an agent to act rationally.” (Russel and Norvig 4). The Ford professor of artificial intelligence and computer science at MIT, Patrick Winston illustrates AI as  “algorithms enabled by constraints, exposed by representations that support models targeted at loops that tie thinking, perception and action together.”

While these explanations may seem conceptual to the average person, they enable us to focus the field as a territory of computer science and deliver a blueprint for instilling machines and programs with machine understanding and other subsets of artificial intelligence.  Jeremy Achin, DataRobot CEO began his speech by proposing the following definition of how AI is used today while dealing with a crowd at the Japan AI Experience in 2017:

AI is a computer system able to perform tasks that ordinarily require human intelligence… Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules.” 

Here are some of the Top Cities in the Nation’s Hottest AI Hubs: 

  1. Austin
  2. Boston
  3. Chicago
  4. Los Angeles
  5. Seattle
  6. NYC

Artificial intelligence examples can be seen in the following industries and disciplines

  1. Disease mapping and prediction tools
  2. Optimized, personalized healthcare treatment recommendations
  3. Manufacturing and drone robots
  4. Robo-advisors for stock trading
  5. Conversational bots for marketing and customer service
  6. Smart assistants (like Siri and Alexa)
  7. Song or TV show suggestions from Spotify and Netflix
  8. Social media monitoring devices for dangerous content or false news
  9. Spam filters on email

Artificial Intelligence Robot And Artificial General Intelligence

The innovation of a machine with human-level intelligence that can be assigned to any task is the Holy Grail for many AI researchers, however, the quest for AGI has been fraught with complication.  The investigation for a “universal algorithm for learning and acting in any environment,” (Russel and Norvig 27) isn’t recent, but time hasn’t reduced the difficulty of nearly creating a machine with an entire set of cognitive capacities. 

AGI has long been the muse of dystopian science fiction, in which super-intelligent robots invade humanity, but professionals approve, it’s not something we want to be concerned about anytime soon. Artificial General Intelligence (AGI), sometimes implied to be “Strong AI, “. It is the type of artificial intelligence we watch in the movies, like the robots from Westworld or Data from Star Trek: The Next Generation. AGI is a device with general intelligence and, much like a human being, it can refer to that intelligence to unravel any trouble. 

Careers in AI

As the feasible applications of AI proceed to improve, so does the positive career capacity for those with the skills needed to prosper in this industry. The World Economic Forum’s “The Future of Jobs 2018“ report foresees that there will be 58 million new jobs in artificial intelligence by 2022. Nevertheless, those with the essential combination of skills are frequently hard to come by, Edmunds says. “The job market is really huge in [AI], but a lot of people aren’t trained for it,” she explains, ensuing in an above-average job perspective for those who do have the skills needed to work in this niche sector. Here are some careers which you can become: 

  1. Data analytics
  2. Computer Science & Artificial Intelligence Research
  3. Software Engineering etc.

Moreover, you should hone your skills as Artificial intelligence experts share an order of practical techniques and theoretical understanding in mathematics and statistics, alongside a working knowledge of role-specific devices and processes. Few AI-focused computer scientists may also maintain an understanding of the philosophy and ethics that go into providing a computer with the capacity to “think” and draw outcomes.

The influence of machine learning and artificial intelligence advantages does not stop at the proficiency to create the lives of individuals easier, yet. These programs have been evolved to positively impact nearly every business through the streamlining of industry processes, the improving of customer experiences, and the bringing out of tasks that have never before been possible.

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