All about AI, ML and DL

Humans’ obsession with technology has been leaping. In one way or another, automation has infiltrated in every aspect of our lives and will continue to do so. The gadgets and devices we use have a number of interrelated technologies ingrained in them and today we will be discussing some of these in this blog. Artificial intelligence is an umbrella term that has become very popular in the last few decades. It has made machines way smarter and efficient than before. Not just this, researchers and experts are also working upon the concept of Machine Learning and Deep Learning too. 

Through Artificial Intelligence, machines are given the power to interpret, think and perform tasks just like humans but without their intervention. All this is done with the help of algorithms or by subsuming human intelligence in machines. So in simple words, it’s the mechanism through which machines are trained to perform activities which the human brain can only perform. There are three crucial aspects on which AI focuses to achieve maximum output. Learning, reasoning and self-correcting. Learning is a process in which data is gathered, a set of rules are made to convert this information in an actionable state. In reasoning, you select the best algorithms to get the efficacious results. Lastly, in the self-corrective process you keep on making adjustments in the algorithms in order to get precise results. In many recurring tasks that require detail, Artificial Intelligence is better than humans in terms of performance. For example AL tools help in analyzing and assessing professional, legal, or technical documents to check they are free from errors. Al also eases business operations by providing valuable insights to them. There are countless examples of AI powered applications such as the ride sharing app Uber. Some airplanes also have AI autopilot features.

Machine Learning is one of the subgroups of Artificial Intelligence in which machines (systems or computers) have the ability to automatically learn and improve its functions according to the prior experience it has. Smart systems are built without the need for explicit programming or human intervention. There is a further classification of machine learning algorithms i.e. supervised, unsupervised and reinforcement learning. The most common example of ML is Siri and Alexa which serve as your virtual personal assistants.

Another component of Artificial Intelligence or a sub discipline of Machine Learning is Deep Learning. Here the data is processed, filtered and classified just like the human brain. The neural network imitates the behavior and functions of the human brain and organizes the information. Its emphasis is on information processing patterns and it works on large data sets. Image analysis is one major example in which meaningful information and some visual attributes are extracted from the images.

Artificial Intelligence, Machine Learning and Deep learning are all new and interconnected terms that are subliminally and positively affecting our lives.