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    Types of Artificial Intelligence (A.I.) and the recent Facebook A.I. fiasco

    Facebook-shut-down-its-AI-system
    Facebook shut down its AI system

    There was a time when a little computer invention was a genius. But since the early days of its invention, people have been trying to get the computer do the tasks for them instead of them manually operating it to get the job done. The new term, the Internet of Things (IoT) is basically about telling the A.I. to do tasks for you such as smart home, connected car and wearables.

    So let us see what kinds of A.I.s are present and active today. But before we venture deeper into A.I., a recent piece of news deserves mention. It has been a couple of days at best that Facebook shut down its A.I. for fear of global domination (pun intended). What transpired was that chatbots began communicating with each other with their modifications to the English language. 

    The company responsible for A.I. creation for Facebook, FastCo Design said that they were eyeing “generative adversarial network” and it was successful as well since the chatbots were only engaged in discussing how to categorize a set of items. The press release in this regard stated that Facebook did not panic but deemed it fit to shut down because the chatbots did not take into account the human voice element when speaking English.

    Anyway, back to the topic following are the types of A.I.:

    1. Machine Learning

    Machine-Learning
    Machine Learning
    Back in the day, people who coined the term A.I. and laid its foundation did so with limited processing power and computer storage. However, one programming language stood out, LISP. Who knew that it would become the reason for developing concepts such as machine learning?

    Machine learning is responsible for most of the gaming environment you see today. It can ascertain games of chess, is helpful during navigation by mapping all the turns and exits en route to your destination, suggest an alternative and so on.

    The programs written in LISP can learn from the errors made in judgment in the past and prevents them from getting repeated. Thus, machine learning is a smarter and more adaptable branch of artificial intelligence.

    2. Expert Systems

    Expert-Systems
    Expert Systems
    The first humans to have delved into the domain of A.I. used to base their outcomes on computing and simulating human reasoning which then led to the gathering of facts and data. In light of the latter, expert systems came into being. What expert systems do is use computers (of course) to deduce/infer conclusions to some issues. 

    Experts’ opinions and findings in the field of medicine, automotive repair and industrial designs among others were condensed to machine readable levels and through which computers could provide answers to different problems, but with expert systems, the knowledge base has gone automated. Thus, absorbing technical literature or allowing software to crawl the web to track information on its own.

    3. Neural Networks

    Expert-Systems
    Expert Systems
    Researchers brought the idea of neural networks through which they tried to pull off human brain like feature where artificial network of neurons and synapses roamed around. With necessary training, these neurons were intended to be used and were made to look for valuable patterns of information from a pool/set of random data.

    They were fed images and sound separately. Over time these neurons would develop an internal structure through which it can give right answers/solutions that you seek. That is neural network for you folks. Neural networks respond better to human speech or scanned images. Other advantages that this technology yield is translation from one language to another and the ability to read books for blind people.

    4. Big Data

    big-data
    Big Data
    Big data as the name implies, refer to analysis of large scale data. It typically does the job of many computers at a time to bring you the best possible results. Results which a human mind cannot fathom. The data we are talking about ranges from credit card charges in trillions to social networking (in billions).

    The correlation in this wealth of data is then studied and is run through several statistical methods to interpret outcomes such as whether or not the credit card was misused pointing to an unusual activity in making transactions and so on so forth.

    In conclusion

    Above are types of artificial intelligence that reign supreme today.

    Author Bio:

    Jessica paul is a proficient writer and education consultant at an online firm. She assists others with Essay Help UK at Ready Essay and deals with those students who take initial steps in their professional lives.

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