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This article is about Artificial Intelligence
5 AI Concepts for non-IT Folks!
By NIIT Editorial
Published on 13/03/2021
6 minutes
Artificial Intelligence has begun doing the rounds of celluloid while at the same time dominating scientific journals. So much of mainstream media is covering the subject that often they throw industry jargon helter-skelter at the public. People, who are unaware and new to the domain then struggle to make sense of it all thinking if the explanations are so damn tough, how complex the subject would be?
Granted, although AI is a complicated subject matter, on the whole, it is a key element of the evolving data science industry. Data science in itself is based on inter-disciplinary domains such as machine learning, data analysis, and statistical programming. Each of them sanctions a separate write-up and a course which is why you should explore the following offerings from NIIT:
- Advanced Post Graduate Program in Data Science and Machine Learning (Full Time)
- Advanced Post Graduate Program in Data Science and Machine Learning (Part time)
- Data Science Foundation Program (Full Time)
- Data Science Foundation Program (Part Time)
Staying on course for the topic of this article, here are a few commonly used AI terms that you should make friends with sooner than later.
Autonomous
The term indicates that a machine is handling all its operations without human intervention. With the help of machine learning algorithms, developers found a way to make computer programs perform repetitive tasks such as data entry, data extraction, etc. A highly complex application of it becomes an autonomous car that takes turns, puts the brakes on, and starts at the right time. Further, autonomous technology can be explored in factories fitted with robots.
Natural Language Processing
NLP is a machine’s ability to learn forms of human language in both verbal and written formats. The reason you would hear much about it is that home smart appliances that are central to our everyday lives such as voice speakers and chatbots rely on NLP mechanisms. The time when you are typing a message on WhatsApp and it gets self-corrected is also an application of NLP.
Facial Recognition
It is the technique that AI codes use to recognize people’s faces. They do so by mapping nodal points on the face and then recreating a graphic image of it in a faceprint. Places such as airports, ATMs, and federal offices use facial recognition to maintain a high level of security.
Turing Test
This test was innovated by acclaimed scientist Alan Turing in the 20th century. It is used to determine the eligibility of a supposed “AI” program to be officially termed AI. A human volunteer is made to communicate with the machine, and if he/she cannot determine the true nature of the responder, then the machine is termed Artificial Intelligence.
Spam Filters
Artificial neural networks help the code swift the data for certain parameters. Spam flyers are used by your email clients such as Gmail, and Yahoo mail. They use it to block the content that they think is spam-worthy, but how do they do so? Your email client studies your preferences when it makes you mark an email as spam or not spam. After a while, the code gets self-sufficient in categorizing the incoming emails and marks is accordingly.
These terms are a precursor to many important concepts that dominate the science behind AI. If you are a working professional, or even an undergraduate, or just a technology enthusiast, a single glance at the above-mentioned programs would prove their pedigree.
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