Application of machine learning in Artificial Intelligence
"Nothing is impossible"
Human is a strange animal, which has curiosity about things and capability of achieving things. So, scientists have proven the above quote in many occasions. One is artificial intelligence. It was just a concept but now days it has become true. So artificial intelligence is the demonstrated intelligence by machines, unlike natural intelligence AI does not have emotions and feelings like humans. Machine learning is a subset of AI and deep learning is a subset of machine learning. AI is applicable in many aspects. Such as, in social media, healthcare, agriculture, marketing, banking and finance, space exploration, autonomous vehicle, gaming, chat bots and creativity etc.
First of all, it's very familiar for us that social media use AI for different purposes. Social media is generating gargantuan amount of data through users' chats, posts, and pictures and so on and whenever there is an abundance of data artificial intelligence and machine learning are always involved. In social media platforms like Facebook, AI is used for face verification and machine learning and deep learning concepts are used to detect facial features and then tag your friends with the help of that. On the same way deep learning is used to extract every single detail from an image by using a bunch of deep neural networks. Machine learning algorithms are used to design user's suggestions based on user's interest.
Secondly, artificial intelligence is used in chat bots. Nowadays virtual assistants have become a very common technology almost every aspects. We can find them in some websites also. Many households have a virtual assistant that controls the home. Popular examples are Siri and Cortana which are gaining popularity because of the user experience they provide. The Amazon echo is an example for how artificial intelligence is used to translate human language into actions. This device uses speech recognition and natural language processing to perform a wide range of tasks on user's command. It can do more things such as playing user's favorite songs, make phone calls, check weather conditions, control the devices at user's house, reserve taxi for user and so on.
Next, autonomous vehicle concept was a key word in artificial intelligence for the earlier decades. Now it has become true. It is autonomous cars. Generally in autonomous cars, artificial intelligence system collect data from the vehicle's cameras, radars, GPS and cloud services to produce control signals which drive the vehicle. In this case, advance deep learning algorithms accurately predict what objects in the vehicle's vicinity are likely to do. This has made autonomous cars much more effective and safer. Tesla self-driving Cars are the famous example for autonomous vehicles all around the world. In Tesla self-driving cars, AI uses computer vision image detection and deep learning to automatically detect objects and drive around without human involvement. On the same way Tesla autopilot software is much more than driving the car. It will drive when driver tells it to go. The autopilot will check user's calendar and drive his scattered appointment. In the present there are fully self-driving Cars with the autopilot features. We will be seen rob taxi version which can fetch passengers without any one behind the wheel near future.
Finally, artificial intelligence has made huge impact on human's life and it will be doing. As mentioned in the beginning scientists are turning impossible things into possible things using artificial intelligence but AI has disadvantages as well as disadvantages. Only future knows how it will affect on human.
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