Machine learning involves training computers to learn and make decisions from large datasets using algorithms, while deep learning is a subset of machine learning that uses neural networks to ...

Machine Learning and Deep Learning are Artificial Intelligence technologies that can be used to process large volumes of data to analyze patterns, make predictions, and take actions.

“In machine learning the output is always inference and deep learning is an ongoing process”, said Dr Murthy.

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...