Where Are Big Shot Companies Banking On For The Next Digital Age Revolution!

Introduction

Have you ever wondered how your smartphone recognizes your voice input or how Facebook suggest an image tag for people you know?

Whenever you visit an E-Commerce Shopping portal, why some products appear on your recommendation list more often than others?

How google gives you a search auto-complete suggestion while you try to find something online?

The answers to all the above questions have to do with the next generation technology by the name of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL).

And we are witnessing a big rush by giants such as Google, Salesforce, Apple, Intel to capitalize and acquire any innovative company in this domain to take advantage of the next Digital Age Revolution. The known fact indicates that data is the new oil of the 21st century.

Artificial Intelligence and Machine Learning

In brief, Artificial Intelligence is transferring or exhibiting Human Intelligence in Machines, and Machine Learning is a sub-discipline of AI, an Approach to achieve Artificial Intelligence. While Deep Learning is the cutting-edge tool to implement Machine Learning.

Because of new computing technologies, Machine Learning contemporary is not like Machine Learning about the past. It was innate from pattern recognition and the theory that computers can gain without being programmed to perform specific tasks.

Researchers involved in Artificial Intelligence wanted to see if computers could learn from data. The iterative aspect of Machine Learning is important because as models exposed to new information, they can freely adapt. They pick up from previous computations to produce reliable, repeatable decisions and results.

Just like our Human Brain, It’s a science that’s not new – but one that’s gaining fresh & natural momentum. While abundant Machine Learning algorithms have been around for a long time, the capability to naturally apply complex mathematical estimate to big data – over and over, faster and faster – is a recent development.

Deep Learning

Deep Learning targets even more barely on a subset of ML tools and techniques and applies them to solve just about any problem which requires “thought” – Human or Artificial.

Deep Learning breaks down tasks in ways that make all kinds of machine assists seem possible, even likely. Driverless cars, better preventive health care, even better movie advice, are all here today or on the skyline. At this point of time, AI is the present and the future. With Deep Learning’s help, AI may even get to that science fiction state we’ve so long imagined.

Conclusion

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