What are the major categories of AI studies?
Artificial intelligence (AI) is just about the topmost tech learning trends of 2020-21. AI is the practice of computer recognition, reasoning, and action. It’s fascinating because it’s about bestowing machines with the power of simulating human behaviour, especially our cognitive capacities. In terms of popularity as a course among school kids, it’s one of the reigning buzzwords along with coding, i.e., courses on programming languages. We have rounded up the most popular fields of study within the umbrella of AI below.
Machine learning is probably the most popular category of AI studies
Machine Learning is the technique that gives computers the potential to learn without being programmed for specific tasks, since it already has enough database and data points to process those tasks. In the last few years, ML has given us self-driving cars, image and speech recognition, useful web search and mobile UI, just to name a few everyday uses.
Neural networking is one of the top emerging AI fields
In simple terms, a neural network is a set of algorithms designed that to find the elemental relationships across bunches of data, imitating the process employed by the human brain as its operating process. The idea of neural networks came from neurology, the study of the human brain and nerves. Neural network replicates the human brain, but with machines operating like a network of nerves exchanging AI driven data to understand, synthesise, process and predict tasks. From weather forecasting to market research, neural networks are extensively used for fraud detection, risk analysis, stock-exchange prediction, sales prediction and much more.
Robotics has gone further with AI tech
Designing and constructing robots were always fascinating. Now AI has taken this deeper. Robotics is actually an interdisciplinary field of science and engineering. It deals with designing, producing, operating, and using robots. Robots are deployed often for conducting tasks too laborious, fine or inaccessible for humans. Robotics works for automobile industry, in surgeries, in assembling hardware, in NASA space projects, and even in our search engines!
Natural language processing (NLP) as part of AI
In layman terms, NLP is the part of computer science and AI that helps in communicating between computers and humans by natural language. It translates human languages to computational processing, by mimicking language parameters and logic. It’s one of the fields of AI where students from various streams can have learning inputs.