What is Artificial intelligence (AI)? How does it work? What are its applications?

And many more questions must have aroused in your mind after listening to this much chaos about Artificial Intelligence. Let’s take a dive inside to know what AI is?

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Artificial intelligence (AI) is a branch of computer science dealing with developing smart machines indulged with human intelligence to perform human assigned tasks. It is a multi-disciplinary approach, to bring the advancement & intelligence in machines to solve complex problems, reducing human involvement. Recent advancements in machine learning and deep learning are also creating a paradigm shift virtually in almost every sector of the tech industry. 

AI is a computer system able to perform tasks that ordinarily require human intelligence… 

Generally, Artificial Intelligence falls within these two broad categories —

• Narrow AI: This kind of artificial intelligence has many limitations and is a simulation of human intelligence. It is mainly focused on performing a single task effectively and while these machines may seem intelligent, but they are operating under far more constraints and limitations than even the most basic human intelligence. As the name suggests, it is often referred to as “Weak AI.”
• Artificial General Intelligence (AGI): AGI is that kind of artificial intelligence which we watch in the movies, like the Robot, Robot 2.0 or the hero from Terminator. As the name suggests, AGI, sometimes referred to as “Strong AI” –  an advanced machine with general intelligence and, much like a human being, it can apply that intelligence to solve any complex problem. 

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Current Advancements in Artificial Intelligence

Chat Bots: Chatbots are new conversation partner to users which manage to automate messages on websites and carry on online conversations.

Voice assistants: Voice assistants are similar to Chatbots, here text conversation is replaced by voice conversation. Google Assistant, Siri, Cortana, Alexa, etc. are growing at a fast pace, becoming the “face” of modern Artificial Intelligence. 

Translation: This isn’t just about translating the language. It’s also about translating objects, pictures, and sounds into data that can then be used in various algorithms.

Predictive systems: These A.I.s look at statistical data and form valuable conclusions for governments, investors, doctors, meteorologists, and nearly every other field where statistics and event prediction prove valuable.

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Marketing: These A.I.s analyze buyers and their behaviour, then choose tactics, products, and deals that best fit said behaviour. There is a lot of crossover between these behind-the-scenes tools and voice assistants at the moment.

Research: Research Artificial Intelligence is like Iris search through complex documents and studies for specific information, typically at higher speeds than Google’s search engine.

Awareness: These A.I.s watch for and report unusual events when humans can’t have an eye on them. One of the most complex examples of this is theft detection, which reports unusual behaviour. A more exciting example, however, is self-driving cars, which use A.I. systems to scan for dangers and choose the appropriate course of action.

Editing software: These basic A.I.s look at pictures or text and locate ways that they could be improved.

“Artificial intelligence is a set of algorithms and intelligence to try to mimic human intelligence. Machine learning is one of them, and deep learning is one of those machine learning techniques.”