Introduction to Artificial Intelligence

Talking of advancements, from Abacus to Super-Computers, the world has come a good distance. The world, say 100 years ago was highly depending on manual execution. Easy tasks reminiscent of arithmetic operations too were long and tedious. Having realized this difficulty, various technologies able to executing complex calculations were introduced.
These technologies grew rapidly and shortly the world saw it’s potential. Calculations have now been quicker and more accurate. Such technologies saw an awesome implementation in various fields including research and development, defence, healthcare, business, etc.
But nonetheless efficient these machines were, there was all the time a scarcity of “Intelligence”. Computers could also be reliable, accurate and a gazillion times faster than a human but they were all but “dumb machines”.
Artificial Intelligence is an idea far superior to every other concept and goals to make machines capable of learn and respond on their very own.
Though the term Artificial Intelligence has been around for greater than 5 many years, it was not until 2 many years before that the world began realizing its huge potential. Artificial Intelligence has a plethora of applications in areas reminiscent of Natural Language Processing, Simulations, Robotics and Speech Recognition to call a couple of.
While the potential of Artificial Intelligence and its applications has been realized, but on account of the complexities involved, the advancements on this field, as of now, is just restricted to the event of Weak Artificial Intelligence Systems also referred to as Narrow Artificial Intelligence Systems.
There was a gentle development in the sector of Artificial Intelligence and the expansion is exponential. Today, Artificial Intelligence is all over the place. From Google to Facebook and Shopping to Learning, Artificial Intelligence is on the forefront.

There are various technologies in existence today which have a direct or indirect application of Artificial Intelligence.

Top 10 Hot latest Artificial Intelligence Technologies

• Natural Language Generation

Popularly referred to as “Language Production” amongst Psycholinguists, Natural Language Generation is a procedure that goals to remodel any structured data right into a natural language. In layman terms, natural language generation could be regarded as a process that converts thoughts into words.
For instance, when a baby looks at a butterfly flying in a garden, he might imagine of it in various ways. Those thoughts could also be called ideas. But when the kid describes his thought process in his natural language (mother tongue), this process could also be termed as Natural Language Generation.

• Natural Language Understanding

Natural Language Understanding is the other of Natural Language Generation. This procedure is more inclined towards the interpretation of Natural Language.
In the instance above, if the kid is told concerning the butterfly moderately than shown, he may interpret the information given to him in quite a lot of ways. Based on that interpretation, the boy will make an image of a butterfly flying in a garden. If the interpretation was correct, then one may infer that the procedure (Natural Language Understanding) was successful.

Because the name suggests, Speech Recognition is a technology that uses Artificial Intelligence to convert human speech right into a computer-accessible format. The method may be very helpful and acts as a bridge in human-computer interaction.
Using Speech Recognition technology, the pc can understand human speech in several natural languages. This further enables the pc to have a faster and smoother interaction with humans.
For instance, let’s say that the kid in the primary example was asked, “How are you?” during a standard human to human interaction. When the kid listens to the human speech sample, he processes the sample based on the information (knowledge) already present in his brain.
The kid draws mandatory inferences and eventually comes up with an idea about what the sample is about. This manner, the kid can understand the meaning of the speech sample and respond accordingly.

Machine Learning is one more useful technology within the Artificial Intelligence domain. This technology is focussed on training a machine (computer) to learn and think by itself. Machine Learning typically uses many complex algorithms for training the machine.
Throughout the process, the machine is given a set of categorized or uncategorized training data pertaining to a selected or a general domain. The machine then analyses the information, draws inferences and stores them for future use.
When the machine encounters every other sample data of the domain it has already learned, it uses the stored inferences to attract mandatory conclusions and provides an appropriate response.
For instance, let’s say that the kid in the primary example was shown a group of toys. The kid interacts (using his senses like touch, see, etc.) with the training data (toys) and learns concerning the toys’ properties. These properties could be anything from size, color, shape, etc. of the toys.
Based on his observations the kid stores the inferences and uses them to tell apart between every other toys that he can have any future encounters with. Thus, it will possibly be concluded that the kid has learned.

Virtual Agents are a manifestation of a technology which goals to create an efficient but digital impersonation of humans. Quite popular in the shopper care domain, Virtual Agents use the mix of Artificial Intelligence programming, Machine Learning, Natural Language Processing, etc. to know the shopper and his grievances.
A transparent understanding by the Virtual Agents is subject to the complexity and technologies utilized in the creation of the agent. These systems are nowadays highly used through quite a lot of applications reminiscent of chatbots, affiliate systems, etc. These systems are able to interacting with humans in a humane way.
Within the above-mentioned examples, if the kid is taken into account a Virtual Agent and is made to interact with unknown participants, the kid will use a mixture of his already learned knowledge, language processing and other mandatory “tools” to know the participant.
Once the interaction is complete, the kid will derive inferences based on the interaction and have the ability to deal with the queries posed by the participant effectively.

Within the context of Artificial Intelligence, Expert Systems are computer systems that utilize a pre-stored knowledge base and mimic the decision-making ability of humans. These complex systems utilize reasoning ability and the predefined ‘if-then’ rules.
Contrary to traditional procedural code based machines, Expert Systems are highly efficient in solving complex problems. Extending the above examples a bit further, the kid, based on his pre-existing knowledge base and inference deriving capability is able to analyzing problems and suggest methods to unravel them.
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Modern Decision Management Systems highly depend on Artificial Intelligence abilities in interpreting and converting data into predictive models. These models, in the long term, help a corporation to take mandatory and effective decisions.
These systems are widely utilized in an enormous variety of enterprise-level applications. Such applications provide automated decision-making capabilities to any person or organization using it.
If the kid within the above example is taken into account as a Decision Management System, based on the knowledge set and reasoning abilities, he shall have the ability to administer his decisions effectively. If the kid is given access to a certain behavioural data of say 10 people, then the kid will have the ability to make near-accurate predictions. Such predictions will govern the selections the kid will make to deal with the issue at hand.

Deep Learning is a special subset of Machine Learning based on Artificial Neural Networks. Throughout the process, learning is carried out at different levels where each level is capable of remodeling the input data set into composite and abstract representations.
The term “deep” on this context refers back to the variety of levels of knowledge transformation carried out by the pc system. The technology finds its applications in quite a lot of domains reminiscent of Computer Vision, News Aggregation (sentiment-based), development of efficient chatbots, automated translations, wealthy customer experience, etc.
For the sake of a less complicated example, if the kid within the above examples carries out learning restricted to only a single level, then the output (response) will not be specific to the issue but general. Learning at a deeper level helps the kid in understanding the issue higher. Hence it will possibly be inferred that deeper the educational is, more accurate is the response.

• Robotic Process Automation

Artificial Intelligence can also be heavily used at industrial levels to automate various processes. While manual robotics is able to completing the job, it lacks the mandatory automation required to finish the duty without human intervention.
Such automated systems assist in larger domains where it shouldn’t be feasible to employ humans. If the kid, within the above examples, is taken into account a Robot without intelligence, he shall be depending on others to perform his chores.
While he should have the ability to finish his work, he wouldn’t have the ability to do all of it by himself. Intelligence enables him to work independently without having to depend on any external interventions.

Text Analytics could be defined as an evaluation of text structure. Artificially Intelligent Systems use text analytics to interpret and learn the structure, meaning, and intentions of text they might come across.
Such systems find their applications in security and fraud detection systems. An Artificial Intelligence enabled system can distinguish between any two varieties of text samples with none human intervention. This independence makes such a system effective, efficient and faster than its human counterparts.
The kid’s intelligence, within the above examples, may also have the ability to make him able to distinguishing between the handwritings written by his members of the family.
To summarize, Artificial Intelligence finds quite a lot of applications in various fields. In all of the examples mentioned above, the kid was capable of tackle all the issues independently because he was intelligent and was not depending on external instructions but relied on his own inferences.

Conclusion

Being highly advanced and able to solving very complex problems, Artificial Intelligence is the important thing to the longer term. Various industries and organizations today, are making extensive use of Artificial Intelligence to fulfil the necessities that were once considered very difficult to satisfy.
Modern research has suggested growth within the Artificial Intelligence domain at the speed of 36.6 % and shall be price $190.60 billion by the 12 months 2025.
While all the bogus intelligence technologies predict a large growth, Deep Learning is predicted to grow the best when it comes to the Compound Annual Growth Rate (CAGR).
By way of market share, Artificial Intelligence based software has been forecasted to carry the biggest market share. While when it comes to geographical area, Asia Pacific is the highest contender when it comes to the best Compound Annual Growth Rate (CAGR) and North America is to carry the biggest market share.
In a span of just around 20 years, Artificial Intelligence has made an exemplary mark on today’s Information Technology industry. It has further provided a formidable set of tools and applications having a wider range in various domains.
Artificial Intelligence has modified the understanding of the world regarding the facility of reasoning and methods of problem-solving. Moreover, it has also enlightened us concerning the complexity of human intelligence.
While some people may perceive Artificial Intelligence as a threat to human existence, responsible and limited use will help humans and technology to co-exist together. Such a co-existence, together, will assist in reshaping the very reality we live in and alter the face of this world entirely.
For many who are taken with pursuing a profession in Artificial Intelligence, you possibly can take up an artificial intelligence online course and upskill today.