Computational Intelligence and its Applications.

In the modern world, there is a huge impact of technology in our day to day activities. Smart devices have become a part of us, and life becomes very complicated at times without these devices. The concepts of artificial intelligence have become intriguing, and many of us are showing keen interest in the same. In this article, let us try to understand computational intelligence and what are its applications in day to day life.

Computational Intelligence:
It is a process of computing which gives approximate solutions to complex problems. Therefore, it is useful to find solutions for problems which are very time-consuming and move forward. It is also referred to as a synonym to “Soft Computing.” In a vast perspective, it represents the branch of science and engineering concerned with making computers behave like humans.

The main principles of computer intelligence: There are five main important concepts of computer intelligence. Lets us learn them on by one.

  1. Fuzzy Logic: In simple terms, Fuzzy logic algorithm helps to solve a problem after considering all available data. Then it takes the best possible decision for the given input.
  2. Neural networks: In simple terms, the neural network is a series of algorithms that tries to recognize relationships in a set of data through a process that imitates the way of a human brain.
  3. Evolutionary computation: In evolutionary computation, the process of natural evolution (formulated by Charles Darwin) is used as a role model for a strategy for finding optimal or near-optimal solutions for a given problem.
  4. Learning theory: This can be used to bring reasoning of a computer to “Human reasoning level.”In psychology, learning is the process of bringing together cognitive, emotional and environmental effects and experiences to acquire, enhance or change knowledge, skills, values and world views.
  5. Probabilistic methods: Probabilistic methods bring out the possible solutions to a reasoning problem, based on prior knowledge. aim to evaluate the outcomes of a Computation Intelligent system, mostly by randomness.

Applications of computational intelligence: The applications are as follows.

1. Medical: The computer in this has precise moments, more accurate than a surgeon’s hands, which might increase the difficulty in performing procedures under high power microscopic magnification. Examples of such procedures now being performed that was extremely difficult if not impossible before this technology is fallopian tube repair in women, microsurgery on the fetus, and minimally invasive coronary bypass surgery.
2. Farming: For conventional row farming, where machines such as harvesters and combines are being used for a long time. Using the methods of computational intelligence, German tractor maker Fendt has developed a radio-and-GPS system that allows a driverless tractor to follow the lead of an operated one as they make their way around the fields, doubling the output.
3. Industries: The growing sophistication of sensors will make the interaction between mechanical and live workers safe and feasible. Robots such as Baxter, from Rethink Robotics, can work side by side with humans, rather than in areas. Employees will continue to perform tasks that require human judgment, while mechanical helpers take on functions that require endurance or involve hazards such as heat, cold and exposure to chemicals. Robots will lift and move heavy objects.
4. Food Preparation: Food processing is open to robotic replacement. Scientists at the Georgia Tech Research Institute are developing a robotic system that can debone a chicken. With a 3-D vision system, the robot can adapt to different sizes of birds. It uses a feedback system to sense the junction of ligament and bone, thereby reducing the hazard of bone chips.
5. Class Rooms: Humanoid robots will go to the head of the class, taking telelearning to new frontiers. For example, English instruction is in high demand in Asian countries such as South Korea. Enter Engkey, a robot developed by South Korea’s Center for Intelligent Robotics. Engkey teaches elementary school students pronunciation (and sings and dances). Human teachers in the classroom help facilitate Engkey’s interactions. In the Philippines, Engkey’s voice and motions are driven by a native speaker of English. The robot costs are substantially less than paying native English teachers to live and work in South Korea.
6. Military: The four-legged “mule” easily negotiates rocks and divots in the road and field. It is intended to follow a military unit of soldiers autonomously, catching up with the unit on field forays with supplies and allowing them to recharge batteries from its onboard power source. In the field, it’s surprisingly quiet an important characteristic on a secret mission. Future versions of the pack mule will be able to interpret verbal and visual commands.
7. Space Exploration: The research in robots exploring space has made a serious and positive inroad exploration of space. The major problems of human loss in space, higher temperatures, zero gravity has come to an end by using robots in space exploration. Therefore the invention of robots in space exploration not only gave safety but also accelerated the work to the maximum possible extent.



Artificial Intelligence: from human intelligence to beyond

Many of us have these question Why is that ends up with “n” number of additional questions! But in precise, I’m going to tell you “why we got to rush for AI.”

Artificial Intelligence, mostly known as AI, is the simulation of human intelligence by devices. In precise, it is the method by which devices demonstrate certain aspects of human intelligence like reasoning, learning, self- correction. Since its commencement, it has shown unprecedented growth. Artificial Intelligence has undoubtedly been a prime entity in today’s world, and it has demonstrated a robust exponential growth throughout. Innovations like Tesla’s Autopilot, Google’s DeepMind, Virtual assistants Siri, Alexa, Cortana are the best examples of the future scope of AI.

Here are some fields where AI can change the future to best:

Artificial Intelligence in Data Analysis

AI is the new engine which is driven by the best fuel called DATA. It is originating some companies to success and devising creative and economical solutions to most of the problems. It would profit immensely if the potential of AI is used to detect patterns and trends that are invisible to the mundane eye. In simple, this enables business’ to target the right customers for the product.

In 2019 alone AI, along with data analysisdrove almost $2.2 trillion worth of value worldwide. If the stakes are this huge, the role of AI in deriving meaningful insights, trends and patterns become vital.

Artificial Intelligence in Agriculture

Here is a fact, the world needs to produce over 30% of its current production in just another 15 years. Thoughtful planning of resources along with AI, will help the farmers grow sustainable production while managing resources actively. Considering factors such as climate change, reduction in water resources, decrease in cultivating land, population growth, AI has enormous potential to provide innovative answers to improve the crop yield during the year to meet the increasing demands.

The future scope of AI involves usage of robots to assist in crop health disclosure, reaping and soil analysis which ensures positive outcomes in the long term.

Nowadays, smartphones are used to perform a wide variety of analytics and tests in the field of agriculture. If that paired with AI, the chances are endless with tremendous potential.

Artificial Intelligence in Automation

The application of automating rule-based works using machine learning is called Robotic Process Automation(RPA). As the scope of AI is immense, growth in automation is directly proportional to automating the tasks in a diverse number of fields. We can forecast a high amount of productivity by making use of AI in daily jobs, holding the high efficiency and throughput of automation.

Automation helps humans’ to focus on the crucial aspects of their jobs while leaving the repetitive work to machines as we all know it can coverup the risky jobs like welding, working in coal mines, bomb diffusion etc.

Artificial Intelligence in Cybersecurity

With the tremendous growth in the availability of the Internet everywhere to everyone, cyber-attacks are growing in the same. In today’s world safety and privacy of one’s data is the most concerned, and from many years, cybersecurity is the answer for it. Even though there are rigid and approved methodologies in usage, hackers always find a workaround. Novel AI techniques like Recurrent Neural Networks can detect fraud in initial stages. This detection method will be able to scan thousands of transactions spontaneously and organise them. By which one can save lots of time as it focuses on cases where there is a high possibility for the scam.

Why should you be certified in AI:

Over the last 2years, there is a 60% increase in demand for AI learning experts in the industry. Also in India, the growth in the size of this sector is estimated up to $16 billion by 2025. Considering this as the central aspect many companies/industries feel that the shortage of skilled people is lessening the adoption of AI in business which makes a massive impact of loss in future.

With the lockdown to combat the deadly Covid-19 students and professionals have lots of time in their hands. To utilize this time productively, several people are looking for resources to upskill themselves. Considering this here are some suggested courses that will help you in mastering the AI course from scratch.

1) Introduction to Neural-Networks and Deep Learning by Great Learning :

 This course requires learners to have essential knowledge of Python, linear regression, logistic regression, and introductory algebra. This course covers different aspects of neural networks such as loss functions, hyperparameter tuning, deep neural networks, batch normalization, tensor flow and so on.

Duration: 15 Hours.

Website Link: https://www.greatlearning.in/academy/learn-for-free/courses/introduction-to-neural-networks-and-deep-learning 

2) IBM AI Engineering Professional Certificate by Coursera:

 To master fundamental concepts of deep learning and machine learning can undertake this course. Six courses are offered under this professional certificate like machine learning with Python, deep neural networks with PyTorch, scalable machine learning on big data using Apache Spark, AI Data Science, etc.

Website Link: https://www.coursera.org/professional-certificates/ai-engineer#courses 

3) Introduction to AI for Business by Udemy :

This course provides an overview of what predictive data analytics are, which AI software is available, and how can they enhance the business performance and also about how Microsoft is using this technology. Moreover, it’s free of cost!

Duration: 1Hour

Website Link: https://www.udemy.com/course/introduction-to-ai-for-business/ 

4) AI technologies for Business Planning and Decision Making by FutureLearn:

This course helps you to learn how AI technology and AI processes help businesses with both human and automated business planning and decision-making. This course comes with free of cost as well.

Duration: 6 Hours

Website Link: https://www.futurelearn.com/courses/ai-technologies-business-planning

5) AI for Everyone by Edx:

This course covers the fundamentals of Artificial Intelligence (AI), and its application to solve real-world problems including, search, constraint satisfaction problems games, machine learning, logic etc. It also helps to solve the real AI problems using python and perform machine learning algorithms.

Duration: 108 Hours

Website Link: https://www.edx.org/course/artificial-intelligence-ai 

6) Elements of AI by Reaktor and the University of Helsinki:

This program can be taken by anyone interested in AI as there is no complicated math or programming involved in it. It covers the basics of artificial intelligence and enables you to learn what is possible, what is not, and helps you to recognise how AI is transforming our lives.

Duration: 30 Hours

Website Link: https://learndigital.withgoogle.com/digitalunlocked/course/elements-artificial-intelligence 

My suggestion to all the folks:

After the completion of Lockdown, it becomes so hard to find a job. The main reason for it is well known – many have lost their jobs, and as usual, many graduates have come out with degrees alone! So when you go for an interview, obviously they will question you about what have you learnt in this lockdown period. If you say the same answer like before “I know programming, scripting, java, c++ etc, etc.; without a doubt, they say NO to you. So it’s better to be prepared with some new technologies in hand before hearing that big NO for the recruiter.