We use machine learning every day, probably without even knowing it. When you do a web search for the nearest Indian restaurant, ... it works so well to give you the names of a bunch of restaurants nearby your location. Behind the scenes, the machine learning algorithm of a search engine (Google, Baidu etc.) knows how to rank the web pages and give you an Indian restaurant at the top and not any Turkish or Spanish restaurants. Another example would be when you upload a group photo with friends to Instagram or Facebook and want to tag your friends in the photo so that they may see it, you are given tag suggestions of your friends’ accounts with higher accuracy. But at the back, it is their computer vision algorithm which recognizes the faces in the photo and matches it with the existing accounts of the respective people. Similarly, if you search for a gadget on Amazon and similar suggestions pop up in your Amazon account, under the hood is machine learning that recommends something you might like. If you ask Apple Siri or Google Assistant to write a message to your friend on your cell phone and the voice is converted to text, backstage is machine learning converting your natural language into text intelligently. Apart from the consumer applications, machine learning is paving its way into many different big companies and industrial applications, for example, machine learning is used to optimize wind turbine power regeneration to reduce climate change effects. In healthcare, it aids doctors in making accurate diagnoses. This all is machine learning which is the science of getting computers to learn without being explicitly programmed. To learn more about machine learning and to dive into its technical aspects, start a free course today Click here References: Coursera.org Read More
1955: An American Computer Scientist, John McCarthy uses the words Artificial Intelligence and ... defines the concept during a conference dedicated to the subject. 1959: Massachusetts Institute of Technology (MIT) creates first dedicated Lab focusing on Artificial Intelligence. 1965 ELIZA, a natural language program is created. ELIZA handles dialogue on any topic; similar is concept to today’s chatbots. 1980s: Edward Albert Feigenbaum, the joint winner of 1994 ACM Turing Award creates expert systems which emulate decisions of human experts. 1997: IBM Supercomputer DEEP BLUE defeats chess world champion Carry Kasparov in a 6-game chess match. 2002: iRobot launches Roomba, an autonomous vacuum cleaner that avoids obstacles. 2009: Google builds the first self-driving car to handle urban conditions. 2017: United Arab Emirates (UAE) announces World’s first Minister of Artificial Intelligence. 2019: Abu Dhabi announces launch of first research based, graduate level Artificial Intelligence University in the world: Muhammad Bin Zayed University of Artificial Intelligence (MBZUAI). Read More
As quoted by Professor Andrew Ng, "Artificial Intelligence (A.I.) is the new electricity," This new electricity drives the world towards the ... fourth industrial revolution. A.I. means teaching the machine and making the machine becoming smart. An Artificial Intelligent Machine learns by itself and not by explicit programming. Today, machine learning is combating one of the leading causes of blindness, and enabling people with a neurological disease like A-L-S (Amyotrophic Lateral Sclerosis) to communicate with their surroundings. A.I. is changing the way we think about the mind and body. Besides, advancement in A.I has made it possible for a machine to compete like an athlete, write a movie, and bring autonomous self-driving cars into existence through reinforcement learning. Currently, NASA is using A.I to build habitat autonomously on Mars using reinforcement learning for the space explorers before they arrive at Mars. Today Network Science Institute at Northeastern University in Boston claims that they can model the whole physical world using the available data and computing power. Suppose you want to dive into A.I. and wish to learn about how to integrate A.I. applications in your daily routine tasks or your business. In that case, there is a free course offered through Coursera Inc by Professor Andrew Ng. To see course details, Click Here Read More