Artificial Intelligence – popularly known as AI, is the revolutionary advancement of technology which reshaped the entire IT industry in the last few decades. AI is a very sophisticated and wide-ranging area of computer science that has created a transformation to the adaptability of machines to perform better, wiser and making it easier for modernizing human civilization to a greater extent.
In the mid-twentieth century, the root of AI was initiated through the research of Alan Turing, John McCarthy, Frank Rosenblatt. They were three world-renowned Scientists, who had a common vision of making “Smart Machines”. The term smart machine was related to the ability of machines to think intellectually. It was a highly influential contribution to create digitally advanced computer or computer-controlled robots with intellectual and decision-making characteristics. In the present day, which is reflected as the most iconic and fascinating technology of Artificial Intelligence (AI). In a broader and technical explanation of AI – it is a technology that makes machines observe, analyze and resolve.
There are commonly known four types of Artificial Intelligence:
- Reactive Machines
A Reactive AI Machine is the one that is the most primary inclusion of AI. These Machines are mainly responsive to a situation through instinctive rationalization. These machines observe and identify a smart response to humanly stimuli. They are created for distinctive areas and often work as an effective respondent with a significant pattern of reactions. A reactive machine is one of the simplest forms of AI which does not initiate any adaptive methodology or data storing and therefore, they cannot make a diversified strategy. A popular example of a reactive AI machine is “Deep Blue” a supercomputer with a competitive chess-playing ability that beat chess Grandmaster Garry Kasparov in a game.
- Limited Memory
Limited Memory AI is a bit more advanced than the reactive machine and can store data for future reference. These AI machines can conceptualize and identify the relevant elements in a decision-making process. The Limited Memory AI machines are trained with numerous resources and contents to store for utilizing and analyzing for learning and upgrading problem-solving strategies. These machines can use records and refurbish the experience for further adaptation.
Three major machine learning models utilize limited memory artificial intelligence:
– Reinforcement learning
– Long Short-Term Memory (LSTM
– Evolutionary Generative Adversarial Networks (E-GAN)
The majority of present-day Artificial Intelligence which is dominating the tech world by creating a commendable contribution to innovation and efficiency, are Limited Memory AI. One of the extravagant examples includes Self-driving Cars which has intellectual ability to interpret traffic signals, destination pathway and is a very popular option to reduce human effort.
- Theory of Mind
Theory of Mind is envisioned yet to turning into reality. The research is still under progress in this sector and it has immense prospect to be a groundbreaking invention of scientific capabilities. The concept is based on the psychological premise and concentrates on understanding thoughts and emotions to generate a behavioral response. This would mean that in near future, AI could comprehend humans’ emotions and relate how animals and other machines react and AI can make decisions through self-reflection.
This type of AI development is still a myth and exists only hypothetically. Self-aware AI is supposedly an updated version of the Theory of Mind and is based upon having an AI that has evolved to be very likely to the human brain that it would have self-awareness. Although the development of this virtual reality of highly intellectual AI can potentially boost our progress as a civilization, there is an active debate that it can also potentially lead to catastrophe.
The brunches Artificial Intelligence are highly efficient to solve real-world problems. AI mainly works in developing smart machines by implementing the following processes/ techniques:
- Machine Learning
- Deep Learning
- Natural Language Processing
- Expert Systems
- Fuzzy Logic
Now that we have known about the history of the starting of this revolutionary innovation and it has grown to be the fastest inclusion in modern human civilization. Let’s get to know about some of the real-time inventions of Artificial Intelligence that were once presumed to be only creative imagination in Sci-Fi movies, which have now become an integral part of our daily lives.
There are numerous, applications of AI systems that are used worldwide. Some of the most common examples are:
Speech recognition: It is also known as Automatic Speech Recognition (ASR), and this technology enables machines that use Natural Language Processing (NLP), to process human speech into a written format or analyze instruction through voice and take action accordingly. The latest example includes Siri.
Customer service: Virtual chatbots are gradually becoming an alternative to human workers and making the customer journey more cost-effective and convenient. They answer frequently asked questions (FAQs) provide personalized advice, by analyzing customer engagement across websites and social media platforms. Examples include messaging bots on e-commerce sites, messaging apps, such as Slack and Facebook Messenger.
Computer vision: This AI technology enables computers and systems to gain meaningful information from digital images, videos, and other visual inputs, and based on the analysis, it can provide recommendations and perform many other image reading activities. Some of the examples of the use of computer vision applications in diverse sectors like photo tagging in social media, radiology imaging in healthcare, and self-driving cars within the automotive industry.
Recommendation engines: AI algorithms can help to discover data trends that can be used to develop more effective cross-selling strategies. Using behavior data of past consumption, machines make relevant add-on recommendations to customers and make an efficient contribution to online retailing.
Automated stock trading: AI-driven high-frequency trading platforms, that are specially designed to optimize stock portfolios. Are capable to make efficiently profitable trades per day without human intervention.
For the last one and a half years, the entire world is fighting a pandemic and human interaction has become more complex now, having an intelligent machine to decode instructions is a proven advantage to make the output effective and convenient.
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