In this series, you can ask questions and get your doubts cleared. The expert team from INDIAai will answer your questions.

Send your questions to: askindiaai@mail.nasscom.in

What is machine learning, and how is it related to AI? - Ganapati Goel, Mumbai

AI has a part called machine learning. The idea is that machines will "learn" and get better at tasks over time, so people won't have to keep putting parameters into them. So AI is in the real world through machine learning.

What is Tensorflow? What does it do? - Joseph Vijay, Mangalore

TensorFlow is a library of open-source software made by the Google Brain Team in machine learning and neural network research. Some AI features, like natural language processing and speech recognition, are much easier to add to apps with TensorFlow.

In AI, why do we use an inference engine? - Gabriel Henry, Kottayam

AI's inference engine takes helpful information from its knowledge base by following logical rules. Most of the time, it works in two different ways:

Backward Chaining

It starts with the end goal and then works backwards to find the evidence that points in that direction.

Forward Chaining

It starts with known facts and then makes claims about new facts.

Is the Google search engine a form of artificial intelligence? - Suffiyan, Hyderabad 

Since 2015, Google has been utilizing RankBrain, a machine learning algorithm. It is how it facilitates processing search results and delivering more relevant answers to users.

Google uses AI every time a user enters a search query, and the technology is constantly learning and improving. RankBrain has changed how the search engine works. Google has known for a while that artificial intelligence (AI) is the future of their search platform because RankBrain can handle search queries better than traditional algorithmic rules hand-coded by human engineers. AI will make suggestions based on our search history and other information it gathers about us.

What are neural networks, and how do they relate to artificial intelligence? - Vaishnavi Bhattacharya, Kolkata

Neural networks are a type of algorithm for machine learning. To think about how to compute, think about the "neuron" part of the word "neutral." The "network" part describes how the neurons are with each other. As information moves through a neural network, it becomes more critical. In addition, because the networks are linked, they can process more complex data quickly.

Why is the Turing test important in AI? Parvathy, Secunderabad

Researchers use the Turing test to determine whether a machine can have intelligence comparable to a human's. A machine is "intelligent" when it outperforms humans on an intelligence test. Even if a machine cannot accurately mimic human behaviour, it can still be deemed intelligent.

Moreover, It is a tool for asking specific questions to test a machine's intelligence. This test examines whether a computer can simulate human thought. An AI, a human, and an interviewer all participate in the Turing test.