HOW DOES PHYSICS PLAY A ROLE IN DEEP LEARNING?

If deep learning can extend far beyond the plains, physics has something to do with it. The modern world sees artificial intelligence as the new physics that starts from the same principle of learning, reasoning and application. Physics can be useful in understanding gauge equivariance.

We have to go further back to Albert Einstein’s theory to be able to grasp the meaning. Certainly, the answer lies in learning and understanding particle physics. It turns out that this law has a gauge equivariance. This property wants to enlighten us on certain aspects of the universe and demonstrates that the quantities of particles and their relationships do not depend on gauges or arbitrary reference frames.

© Ecole polytechnique / Flickr

Let’s just take the example of a football field that is measured in yards and then in meters. The measurements taken do not give the same figures. This means that physicists always keep a certain consistency in the models of reality, regardless of the unit of measurement or the angle of view when taking a photo. The same is true for gauge NBCs. They adopt the same hypothesis as physicists.

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Matthew Sykes
I am known as Matthew Sykes, I have a master degree in Physical Science at Cornell University, I had been working as astronomy for 12 years and I have a burning curiosity about the world. and also a quite methodical person. and I am a very imaginative person, I also passionate about blogging that's why I am part of ''todaynewstalk'' family cause we share the same motivation and passion to share information about science and ecology, space, and I will do my best to add value to Today news talk Followers.Address: 4378 Goldie Lane Cincinnati, OH 45203, United States of AmericaPhone Number:  +1 217 377 6521Email: MatthewSykes@todaynewstalk.com

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