Let’s Talk About Some Of The Top Notch Applications Of AI

As per the Forbes report, AI-related job opportunities have been consistently growing at the rate of 74% annually. In another research, it is predicted that the global AI market is expected to be almost $60 billion by the year 2025.

Thus, AI is one of the most in-demand technologies that our young generation needs to be aware of. Artificial Intelligence has the full potential to transform the world into a better place. With the help of AI, our young minds can develop thousands of applications to solve real-life problems across various industries.  

If you are interested to know about the applications of AI, read this informative blog till the end. 

What Are Some Of The Remarkable Applications Of AI?

1. AI System usage as Smart Home Devices

We all are familiar with the power of smart home assistants such as Google Home and Amazon Echo. These devices use their user’s voice commands to perform various tasks such as playing music, switching ON/OFF the light, etc. These types of systems are built with the help of AI & ML. 

If we talk about the global home automation market size, in 2017 it was around  USD 45.8 Billion. There are expectations that by the end of 2025 it will reach USD 114 Billion. 

For example, LG has developed a DeepThinQ 1.0 technology for serving the purpose. This technology supports both voice & video recognition. It also transmits all the collected information to cloud servers.

This LG washer is capable of studying human behavior and habits and it then learns automatically and applies the learning from its surroundings. The DeepThinQ platform studies its user behavior and gets smarter over time through the usage of cloud servers.   

2. AI System usage in Autonomous Vehicles

Self-driving cars utilize the power of AI & ML. These self-learning cars can identify objects, interpret situations and make decisions on the basis of object detection and using SIFT(scale-invariant feature transform) algorithms for feature extraction. 

For example, self-driving or autonomous vehicles use cameras and sensors to capture the surrounding environment and record status data for the vehicles like the angle of the steering wheel, weather, road conditions, speed, visibility, etc. The AI system based on a recurrent neural network (RNN) is used to learn and recognize patterns with the collected data. If the system detects a pattern in a new driving situation, the concerned driver will be warned in advance if he/she is facing a critical situation. 

A team of researchers carried out a study to test the technology with the BMW Group and its self-driving cars on public roads. They have studied and analyzed about 2500 situations that need drivers’ intervention. The complete study suggested that the Artificial Intelligence system is fully capable of predicting potentially critical situations with an accuracy of  around 85% and warning the driver 7 seconds before the situation even occurs.

3. AI-based system in Education

As per Global Market Insights, in the year 2020, the market size of AI in education has reached 1 billion USD.

AI played a vital role in the education sector. For example, Knewton is a company that creates adaptive learning technology for higher education. They use a program called Alta that helps to identify the gaps in students’ knowledge. It also provides students with relevant coursework as well. 

The AI can help to automate various tasks of the teacher such as:

  • With the help of AI technology, tasks like grading and worksheet assessment can be easily automated. 
  • AI software can provide constructive feedback to students to guide them about their academic strengths and weaknesses.
  • Artificial intelligence tools provide universal access to all students across the world. 
  • AI-based systems help to provide personalized learning programs that are tailor-made as per students’ abilities.   

4. AI system in Agriculture

AI-based equipment and smart machines have revolutionized the Agriculture system. As per studies, by 2050 the world’s population is expected to grow around  10 billion. The more the population, the more the demand will rise for resources like food and water. With the help of using AI, we can bring a revolution in the field of Agriculture.

As per the Forbes report, By the year 2025, the global spending on Smart agriculture (using the applications of AI & Machine Learning) is expected to triple to $15.3 billion.  

AI can solve problems that are faced by farmers. For example, weeds pose a real threat to the crop’s health. To overcome this problem a California-based company Blue River Technology is working with Facebook AI and Machine learning to build camera-enabled machines that are known as See & Spray that utilizes the power of image recognition technology. 

The See & Spray Robotic farming machines use the combination of both computer vision and Machine learning to detect weeds among the crops in real-time. 

As the See & Spray robot browses through the field, it uses a high-resolution camera array to collect images of crops and weeds.  The frame that has been captured by the camera is then analyzed by a PyTorch-enabled neural network. This network has the potential to detect or identify weeds and crops and it then maps their locations. After the map has been developed, it will only take milliseconds for the robot to spray at the locations where it has earlier detected the  weeds. It is a very helpful method that saves costs for farmers and also promotes sustainable & smart agricultural practices. 


So, we have discussed various applications of AI and its practical uses in the real world. Thus, preparing young minds about these technologies from an early age opens doors to many future lucrative job opportunities. As per Analytics Insights, the average salary of an AI Engineer is around 13 lacs per annum. It will further increase with experience and knowledge. Thus, it is high time to get your kids started in the field of AI by introducing them to online coding courses.

There is a rising edtech company- Tinkerly that offers online coding courses that are based on the grade-wise concepts of AI, IoT, and Robotics. The play-based course curriculum is blended with the goodness of educational kits that takes the student’s learning journey beyond the screens. 

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