Artificial Intelligence

2006

AI came in the Business world till the year 2006 Companies like Facebook, Twitter, and Netflix also started using AI

Gaming

AI can be used for gaming purpose. The AI machines can play strategic games like chess, where the machine needs to think of a large number of possible places

Travel and Transport

AI is becoming highly demanding for travel industries AI is capable of doing various travel related works such as from making travel arrangement to suggesting the hotels, flights, and best routes to the customers. Travel industries are using AI powered chatbots which can make human like interaction with customers for better and fast response

1955

An Allen Newell and Herbert A Simon created the "first artificial intelligence program" which was named as "Logic Theorist" This program had proved 38 of 52 Mathematics theorems, and find new and more elegant proofs for some theorems.

Robotics

Artificial Intelligence has a remarkable role in Robotics Usually, general robots are programmed such that they can perform some repetitive task, but with the help of AI, we can create intelligent robots which can perform tasks with their own experiences without pre programmed. Humanoid Robots are best examples for AI in robotics, recently the intelligent Humanoid robot named as Erica and Sophia has been developed which can talk and behave like humans

Healthcare

Companies are applying machine learning to make better and faster diagnoses than humans One of the best known technologies is IBM's Watson. It understands natural language and can respond to questions asked of it The system mines patient data and other available data sources to form a hypothesis, which it then presents with a confidence scoring schema

2012

Google has launched an Android app feature "Google now", which was able to provide information to the user as a prediction

1997

In the year 1997 IBM Deep Blue beats world chess champion, Gary Kasparov, and became the first computer to beat a world chess champion

2011

In the year 2011 IBM's Watson won jeopardy, a quiz show, where it had to solve the complex questions as well as riddles Watson had proved that it could understand natural language and can solve tricky questions quickly

2014

In the year 2014 Chatbot "Eugene Goostman won a competition in the infamous "Turing test

Education

It automates grading, giving educators more time It can also assess students and adapt to their needs, helping them work at their own pace.

Business

Robotic process automation is being applied to highly repetitive tasks normally performed by humans Machine learning algorithms are being integrated into analytics and CRM (Customer relationship management) platforms to uncover information on how to better serve customers. Chatbots have already been incorporated into websites and e companies to provide immediate service to customers Automation of job positions has also become a talking point among academics and IT consultancies.

Automative Industry

Some Automotive industries are using AI to provide virtual assistant to their user for better performance Such as Tesla has introduced Tesla Bot an intelligent virtual assistant. Various Industries are currently working for developing self driven cars which can make your journey more safe and secure. Autonomous vehicles are with advanced tool to gather information, including long range radar, cameras, and LiDAR (light detection and ranging).

2018

The "Project Debater" from IBM debated on complex topics with two master debaters and also performed extremely well. Google has demonstrated an AI program " which was a virtual assistant Duplex is a completely automated system that places calls on your behalf complete with a natural sounding human voice instead of a robotic one o https :://ai googleblog com/ 2018 05 /duplex-ai-system-for-natural-conversation-html

1950

The Alan Turing who was an English mathematician and pioneered Machine learning in 1950 Alan Turing published "Computing Machinery and Intelligence" in which he proposed a test The test can check the machine's ability to exhibit intelligent behavior equivalent to human intelligence, called a Turing test

AI Winter

The duration between years 1974 to 1980 was the first AI winter duration AI winter refers to the time period where computer scientist dealt with a severe shortage of funding from government for AI researches During AI winters, an interest of publicity on artificial intelligence was decreased o Again Investors and government stopped in funding for AI research as due to high cost but not efficient result o During 1980 expert system was introduced o The years between 1987 to 1994 was the second AI winter duration

Finance

The finance industry is implementing automation, chatbot, adaptive intelligence, algorithm trading, and machine learning into financial processes It is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits all of which help a bank's fraud department. Applications for AI are also being used to help streamline and make trading easier This is done by making supply, demand, and pricing of securities easier to estimate

1972

The first intelligent humanoid robot was built in Japan which was named as WABOT 1

1943

The first work which is now recognized as AI was done by Warren McCulloch and Walter Pits in 1943 They proposed a model of artificial neurons

1956

The word "Artificial Intelligence" first adopted by American Computer scientist John McCarthy at the Dartmouth Conference For the first time, AI coined as an academic field

1966

The word "Artificial Intelligence" first adopted by American Computer scientist John McCarthy at the Dartmouth Conference For the first time, AI coined as an academic field

Entertainment

We are currently using some AI based applications in our daily life with some entertainment services such as Netflix or Amazon. With the help of ML/AI algorithms, these services show the recommendations for programs or shows The role of AI in film, television and media can also be felt in marketing and advertising, personalization of user experience, and search optimization

2002

for the first time, AI entered the home in the form of Roomba, a vacuum cleaner

Machine Learning

is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems. It is the study of computer algorithms that improve automatically through experience. Machine learning algorithms build a mathematical model based on sample data, known as " training data ", in order to make predictions or decisions without being explicitly programmed to do so. is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems.

Deep learning/Deep Neural Learning

is a subset of machine learning, which uses the neural networks to analyze different factors with a structure that is similar to the human neural system. a subset of machine learning, utilizes a hierarchical level of artificial neural networks to carry out the process of machine learning The artificial neural networks are built like the human brain, with neuron nodes connected together like a web While traditional programs build analysis with data in a linear way, the hierarchical function of deep learning systems enables machines to process data with a nonlinear approach. also known as hierarchical learning or deep structured learning, is a type of machine learning that uses a layered algorithmic architecture to analyze data

Artificial Intelligence (AI)

refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. AI is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. A branch of computer science dealing with the simulation of intelligent behavior in computers. The capability of a machine to imitate intelligent human behavior. A computer system able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision making, and translation between languages.

Social Media

such as Facebook, Twitter, and Snapchat contain billions of user profiles, which need to be stored and managed in a very efficient way. AI can organize and manage massive amounts of data AI can analyze lots of data to identify the latest trends, hashtag, and requirement of different users

John McCarthy

widely recognized as one of the godfathers of AI, defined AI as " the science and engineering of making intelligent machines"