Back in the 1950s, the fathers of the field Minsky and McCarthy, described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task.

From Google Assistant to SIRI, Cortona to Alexa, WATSON to self-driving cars, there is a rapid increase in the progress of AI field. While science fiction often portrays AI as androids which look like humans, AI is used in anything from Google’s search algorithms to IBM’s Watson to autonomous deadly weapons.

Today’s Artificial Intelligence

Todays’ Artificial intelligence is not what it actually is. It is called a week AI which is designed to perform smaller tasks like analysing human body, facial recognition, understanding human activities using their old records, self driving cars, etc.

But the original AI is much bigger than we all know it. Like JARVIS in Ironman(MCU) and GIDEON in DCTV series.

Imagine how it would be if a person never leaves you in whichever position you are in. That’s what the real concept of AI is. An algorithm which analyses you, including your mental status, and assists you all the time with its words. Yes you read correctly. This algorithm can actually speak.

So coming to the title reference, how this small, tiny version of AI is creating miracles in the field of AI. Well, actually it’s not miracles, but the games are training the the algorithms of AI, how to behave in specific situations. AI algorithms get smarter day by day as same as the person learns to perform tasks as we did. And how this all is being happened.

Scientists are feeding lots of data where algorithms understand the situations. A simple example is facebook. Facebook got millions of images, or even more, but when you upload a photo, it automatically shows you which person has to be tagged for the photo. All this is done using training done to algorithm or say data fed to the algorithm.

Below are some of the excellent examples, which you might have experienced while playing some games.

Assassin’s Creed game used to train AI:

Adrien Gaidon, a computer scientist at Xerox Research Center Europe has been fooled by the trailer of Assassin’s Creed game. At first he thought that it was original movie trailer. Later he understood that was game trailer. The CGI was such realistic and amazing.

Later he went into an idea that why don’t we create such kind of virtual 3D situations to train AI algorithms. He used Unity,a widely used game development engine for 3-D video games, to create scenes to help train deep-learning algorithms. Not only did they create synthetic environments, but they imported a real scene into the virtual world. This allowed them to understand the effectiveness of training algorithms using virtual environments.

Grand Theft Auto used for Traffic Signs:

Almost 80% of the people on the earth would have definitely played this game. Probably the old version. The new version is GTA V which has excellent graphics and game play. But to run this in your system, it requires high specifications. Coming to our session, GTA also got traffic system(which is obviously designed for breaking the traffic rules).

Generally, to train AI, people would use normal pictures of traffic signs to make it learn about how to behave for respective sign. But, a team at princeton university, used this game signs to train and feed data into algorithm about the traffic signs. And this shown good results to the people.

Several research groups are now using the game to train AI algorithms that could be put to use helping a self-driving car navigate in the real world.

AI has also been developing exceptionally in the other fields like education, network communication, security, construction(yes, it does!), medical and many more.

Not only these, games like PUBG, Spiderman for PS4, etc. are being used to train the algorithms. And whatever they may, at the end of the day, it’s all being done for the development of people’s life.


Arjun Chakravarthi is a contributor to Shenzhen Blog. He is currently pursuing his B.Tech in electronics. Also a student entrepreneur, the enthusiastic follower of the tech industry. Been a part of Stanford University's UIF cohort. Practical Learning enthusiastic. Virtual Reality aspirant.