The field of artificial intelligence is based on the goal of making a machine as smart as a human. AI is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. The past few years have been transformative for artificial intelligence, not so much in terms of what we can do with this technology as what we are doing with it. So, here is my list of the AI technologies that are widely used now.
NLP and text analytics
Natural language processing (NLP) is concerned with the interactions between human and computers languages. NLP helps machines “read” text (or another input such as speech) by simulating the human ability to understand a natural language. This technology uses text analytics to understand the structure of sentences, as well as their meaning and intention, through ML and statistical approaches.
Text analytics and NLP are used in many fields, including business, sports, art, health, marketing, education and politics, in fact, anywhere that involves human endeavor.
Biometrics in Artificial Intelligence works as a bridge between machine and human. It is basically used for the security identification of individuals whether for school attendance, office attendance, airport checking, or for your smartphone fingerprint. The biometrics works with your fingerprint, thumbprint, and eye-screening. This is used to check the authentication and identification of each individual. Now, the biometrics application is also been used in the healthcare sector.
A ChatBot is the most promising and advanced expression of the interaction between humans and computers/machines. It is a software application that mimics written or spoken human speech for the purposes of simulating a conversation or interaction with a real person. It communicates using telephones, messages, websites, and mobile apps.
ChatBot responds based on input from a user. ChatBot applications help streamline interactions between people and services, thereby enhancing the customer experience.
Deep Learning Platforms
A special type of machine learning consisting of artificial neural networks with multiple abstraction layers. Currently primarily used in pattern recognition and classification applications supported by very large data sets. A lot of algorithms that utilize counterfeit neural systems to learn at multi-levels, compared to various degrees of reflection. A couple of its applications are robotized speech identification, picture identification, and forecast anything in digital sphere.
AI can beat the setbacks of cyber security machines. However, the defense component that intends to identify, forestall and reduce threats and dangers to important data and information of a system. Also, artificial intelligence improves its insight to “comprehend” cyber security dangers and digital hazard. With the increasing online threat and scam, humans cannot detect in details and in-depth of the root cause. With the use of AI, license the risks and dangers are in control.
Engines that insert rules and logic into AI systems and used for initial setup/training and ongoing maintenance and tuning. A mature technology, it is used in a wide variety of enterprise applications, assisting in or performing automated decision-making.
The Law enforce department regularly use this innovation during cross interrogation with the suspect. Emotion recognition is now being brought into numerous everyday lives, and sooner our state of mind could be monitored under the keen eye of home apparatuses, smart gadgets, and vehicles. Emotion recognition frameworks break down a person’s outward appearance and voice, just as any words they state or compose.
Robotic Process Automation
Robotic processes automation is possible thanks to scripts and methods that mimic and automate human tasks to support corporate processes. It is now being used in special situations where it’s too expensive or inefficient to hire humans for a specific job or task.
We need to remember artificial intelligence is not meant to replace humans, but to complement their abilities and reinforce human talent.
To sum above, AI works an important intelligent technology for our future growth. It is obvious that it is impacting the future of virtually every industry and every human being. So, let see what’s new AI will bring to us in the next years.