What is AI?
Artificial Intelligence(AI) is everywhere around us, say voice recognition software in your mobile phone or navigations in the car. Even Google uses Artificial Intelligence for its search engine. Netflix, amazon prime movie suggestions are based on Artificial Intelligence. Interacting with Siri, Alexa, Google assistant is also a form of Artificial Intelligence.
Artificial Intelligence is a broad area of Computer Science, it makes machines seem like they have human Intelligence. Artificial Intelligence is not just about Programming a computer to obey rules to drive a car. But Artificial Intelligence should function in a much more effective manner and be independent like a human to a certain extent to make a decision.
There are multiple terms for Artificial Intelligence and it is popular ever since its introduction in 1940 – 1950’s. Put in simple terms Artificial Intelligence can be defined as a branch of computer science concerned with the study and creation of computer systems that can exhibit or replicate human intelligence.
For a deep understanding of AI types, you can read our comprehensive blog on types of Artificial Intelligence.
Artificial Intelligence has followed a classic boom and burst cycle in the timeline. There are two types of Artificial Intelligence –
Reasons why AI became Important?
The major reasons why AI became important are the data generation in enormous amount everyday, improvements in processing speed and interpretation speed of computer systems.
Artificial Intelligence is now in great demand therefore it is suggested to have best Artificial Intelligence course in Bangalore to start your career in AI.
Growth of AI :
Ever wondered how AI is so popular and the growth is exponentially increasing. The major reason for these include-
•Retired Decreasing cost of computational powers
•Availability of Data
•Better algorithm
Artificial neural network is an attempt to model the network of cells of human brain on a computer. It is like an interconnected web artificial neurons. If you have any query related to Artificial neural network, kindly refer our AI and Deep Learning Community.
History of AI?
In 1950 Alan Turing wrote a paper titled “Computing Machinery and Intelligence” that coined the question of “Can machines think?”. But only in 1956, John McCarthy coined the phrase “Artificial Intelligence”. Using trial and error method, reasoning was developed as an ability for machines. Then came into picture “The Imitation Game”.
There a three participants in the game. Jack is made to engage with a man named Joey and a machine Elsa in natural language conversation. The test is to empirically determine whether the machine Elsa has achieved intelligence. Jack has to determine which respondent is machine and which is human. The truing test is passed by Elsa if Jack is not able to find the machine or differentiate between a human and machine. The AI is been evolving until now. The recent evolution in 2016 was Alpha Go, where a human champion in Go was defeated by a robot.
Why is artificial intelligence important?
• AI automates repetitive learning and discovery through data. Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks. And it does so reliably and without fatigue. Of course, humans are still essential to set up the system and ask the right questions.
• AI adds intelligence to existing products. Many products you already use will be improved with AI capabilities, much like Siri was added as a feature to a new generation of Apple products. Automation, conversational platforms, bots and smart machines can be combined with large amounts of data to improve many technologies. Upgrades at home and in the workplace, range from security intelligence and smart cams to investment analysis.
• AI adapts through progressive learning algorithms to let the data do the programming. AI finds structure and regularity in data so that algorithms can acquire skills. Just as an algorithm can teach itself to play chess, it can teach itself what product to recommend next online. And the models adapt when given new data.
• AI analyzes more and deeper data using neural networks that have many hidden layers. Building a fraud detection system with five hidden layers used to be impossible. All that has changed with incredible computer power and big data. You need lots of data to train deep learning models because they learn directly from the data.
• AI achieves incredible accuracy through deep neural networks. For example, your interactions with Alexa and Google are all based on deep learning. And these products keep getting more accurate the more you use them. In the medical field, AI techniques from deep learning and object recognition can now be used to pinpoint cancer on medical images with improved accuracy.
• AI gets the most out of data. When algorithms are self-learning, the data itself is an asset. The answers are in the data. You just have to apply AI to find them. Since the role of the data is now more important than ever, it can create a competitive advantage. If you have the best data in a competitive industry, even if everyone is applying similar techniques, the best data will win.
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