Top 8 Emerging AIML(Artificial Intelligence Markup Language) Technologies in 2021!

VERSATILE BLOGSTER
4 min readSep 7, 2021

--

Let's get familiar with AIML and its perks!

What is the use of AIML in today's world?

AIML is an XML -based markup language meant to create artificial intelligent applications.

AIML makes it possible to create human interfaces while keeping the implementation simple to program, easy to understand, and highly maintainable.AIML contains a collection of rules which define the conversational capabilities of the chatbot. it’s used with linguistic communication. Understanding (NLU) processor which takes AIML rules to investigate and reply to the text queries asked via the chatbot. The more rules we add in AIML – the more intelligent the chatbot is.

Artificial intelligence has been making waves in recent years, enabling us to solve problems faster than traditional computing could ever allow.

In today's Blog, we are going to see some Top 8 Emerging Aiml Technologies in 2021 which are going to be very impactful and beneficial in our future.

So, here are the points we are going to cover in this Blog:

  • Virtual agents
  • Computer vision
  • Self-Driving Cars
  • Emotion Recognition
  • 5G
  • Space Exploration
  • Robotic Process Automation
  • Bio-metrics

1. Virtual agents

Virtual agents have become valuable tools for instructional designers. A virtual agent is a computer application that interacts with humans. Web and mobile applications provide chatbots as their customer service agents to interact with humans to answer their queries. Google Assistant helps to organize meetings, and Alexia from Amazon helps to make your shopping easy. A virtual assistant also acts like a language assistant, which picks cues from your choice and preference. IBM Watson understands the typical customer service queries which are asked in several ways. Virtual agents act as software-as-a-service too.

2. Computer Vision

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs — and take actions or make recommendations based on that information. Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”

3. Self-Driving Cars

Finally, fully automated cars are just a few steps away from daily usage. It has been a long dream for humans to come up with self-driving cars. Particularly, the technology sector has taken immense efforts to make this dream come true. This form of artificial intelligence will help reduce collisions and the burden on drivers. Besides, the car is powered by sensors that aides in mapping out the immediate environment of the vehicle.

4. Emotion Recognition

This kind of AI technology enables emotions expressed by humans to be read and interpreted using advanced image processing or audio data processing. Law enforcers often use this technology during interrogation. Some companies that use emotion recognition are Beyond Verbal, NVISO, and Affectiva.

5.5G

5G will enhance the speed and integration of other technologies, while AI will allow machines and systems to function with intelligence levels similar to that of humans. In a nutshell, 5G speeds up the services on the cloud while AI analyzes and learns from the same data faster.

6. Space Exploration

Scientists are developing AI-based assistants to aid astronauts in their mission to Moon, Mars, and beyond. These assistants are designed to understand and predict the requirements of the crew and comprehend astronauts’ emotions and their mental health and take necessary actions in the case of an emergency today, many companies, such as NASA and Google, have already implemented AI to search for new celestial bodies, life on other planets and even streamlining the jobs of astronauts when they are in space.

7. Robotic process automation.

Robotic process automation is an application of artificial intelligence that configures a robot (software application) to interpret, communicate and analyze data. This discipline of artificial intelligence helps to automate partially or fully manual operations that are repetitive and rule-based. Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software.

8. Bio-metrics

Bio-metrics deals with the recognition, measurement, and analysis of the physical features of the body’s structure, form, and human behavior. It fosters organic interactions between machines and humans as it works with touch, image, speech, and body language. It is predominantly used for the purpose of market research. #VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, and Tahzoo provide this technology service.

That's all for today. Thank you soo much for reading my Blog. Feel free to ask any query regarding this article in the comment section.

I hope you learned about Aiml technologies and this information helped you in some way.

My official email id-sursemahi@gmail.com

Thank you!

Written by: Mahi Surse

--

--

VERSATILE BLOGSTER

Welcome to my profile. Myself Mahi Surse. In my blog posts, I will be sharing my views on my interest and the things I love to write about.