Why Artificial Intelligence is Highly Used in Google?

What Is Artificial Intelligence? And Why is Artificial Intelligence is massively used in Google? this type of question we will explore in this Article.

Google AlphaGo software has a new opponent: a computer program designed by a Chinese company.

The AI program, dubbed “Master,” is intended to help predict and avoid natural disasters, as well as create more efficient transportation networks.

Similar to AlphaGo and Master there are a bunch of other tools and technologies that are buildup based on AI to solve real-life problems.

What is artificial intelligence?

Artificial intelligence is a technology built from human intelligence for software and hardware machines, and computer systems, it also uses most of the human neurological techniques.

These techniques may be used to solve complex problems, such as understanding language, visual perception, and autonomous behavior.

AI is a complicated and wide-ranging topic. It’s important for developers and engineers to understand how AI can help them with their work and what it means for society as a whole.

Where Artificial Intelligence Comes From?

Artificial intelligence is a branch of computer science that studies the theory and construction of intelligent agents.

There are many ways to define intelligence, but it can be defined as the display of reasoning about oneself and one’s environment.

Artificial intelligence (AI) has been around for decades and it has come a long way from its humble beginnings.

AI research was born in the mid-1950s with several milestones including the invention of the computer mouse and the creation of programming languages like Lisp and Prolog.
The term "artificial intelligence" itself was coined in 1955 by John McCarthy at a conference on computers and their potential uses.

Why Machine Learning is helpful for AI?

Machine learning (ML) in the field of computer science studies the way in which machines learn from large amounts of data, to solve problems by adapting and acting on the knowledge acquired.

Machine learning is primarily employed in wide-ranging applications including but not limited to:

  1. Big Data Search / Analytics
  2. Artificial Intelligence / Artificial Intelligence (AI)
  3. Personalized Advertising / Recommendation
  4. Automated Vehicle / Self-Driving
  5. Self-Driving Cars
  6. Security / Defenses
  7. Autonomous Vehicle / Autonomous Driving

How to Build AI based on Human?

Recently, a Google research paper described the true significance of “intelligence.” “Intelligence is an inherently social process,” that is written in the Paper.

Google's research paper also mentioned that "to create an artificial general intelligence, one must first understand human intelligence."

What the paper means is that to build machines with human-like consciousness and experience, humans must learn to collaborate with machines in a form of close, organic interaction with our very minds.

And if that’s true, is it not likely that our ability to share our innermost thoughts with machines will also increase significantly?

AI Use in Industry

Artificial intelligence is a rapidly growing field that is revolutionizing many industries and Similar to google different companies are highly utilizing it.

Every day, more and more companies are looking into the A.I. realm to improve their business operations and gain competitive advantages over their competitors.

In order to stay up-to-date on this fast-moving industry, it is important to understand the basics of artificial intelligence and how it can be applied to your business.

Why does Google use artificial intelligence?

Artificial intelligence is the intelligence of machines or software systems that are made to behave in a way that is similar to the way humans think.

Artificial intelligence technology has been given increasing importance over the past few decades, as it offers solutions for many business and social problems.

We should learn how artificial intelligence is being applied in various industries, including healthcare, education, and finance.

Google Top AI Research & Projects

Google Artificial intelligence Research, also known as AI Research, is the newest research division of Google and is also known as DeepMind, is located in London, UK, and was established in 2010.

A few notable researchers that have worked for Google AI Research in the past include Jeff Dean, Ilya Sutskever, and Chris Olah.

Google has launched their Google AI Engine and the Google Cloud Machine Learning (GCML) Engine for Artificial Application and Business Functioning.

Google Brain: an organization within Google that operates autonomous virtual neural networks capable of learning the physical world.

Google Translate: a function within Google that can translate languages or character sequences with a high rate of accuracy.

One example of work in this area is with Google Translate. They have used machine learning to teach their software how to translate English words and phrases into other languages.

YouTube: It is the second website in the world used for most searchers of information. YouTube enables users to watch and post videos and promotes user-generated content to a huge audience of viewers.

Google News: it is the world’s third most visited website for news enthusiasts and information consumers.

It shows the news based on your interest and searches history which is mostly learned by AI algorithm from your web searches and your interest selection.

How AI is impacting the world today

Google has applied machine learning to many different domains in an effort to provide users with customized search results and improved productivity in their work.

What makes Google different than your average online retailer, airline, or other large corporation is that Google has long understood the power of technology as a force for good.

Many popular technologies today have an AI-enabled model or function.

Google recognizes that many of the world’s biggest challenges, such as disease, hunger, and climate change, will be met by applying artificial intelligence to various fields to enable the development of solutions.

Many of these solutions are not possible without access to the tools that machine learning can provide.

Future Perspective of AI and Google

At Google, we do not plan to eliminate jobs; instead, by safely enhancing human abilities, machines can help us do more, and do better. They will make some jobs obsolete, but they will also create many more.

To date, we have only been using AI to serve search results and display ads. In fact, 70-80% of the world’s information is still not online.

With Google’s immense data and deep learning capabilities, we have the unique opportunity to sort through and organize the world’s information. This is a monumental task, and we are up for it.

To date, Artificial Intelligence has enabled Google to recognize 100,000+ images in a day and has helped save around 20,000 lives through Google Photos.

Top Artificial Intelligence APIs Used in Google:

  1. __TensorFlow__: a software library for numerical computation using neural networks.
  2. GCE: an API for TensorFlow.
  3. Keras: A high-level, Pythonic, and easy-to-learn deep learning library.
  4. nnet: The most powerful and useful deep learning neural network network library.
  5. Theano: The most powerful, open-source, and easy-to-use deep learning neural network library.
  6. CausalML: Provides a useful interface for causal inference with the Aspect Theorem.

Applications of AI in Industry

Improving Google services and products Google has expanded AI team A few example applications that use artificial intelligence.

  1. Google Translate for Spanish & French
  2. Google Translate for Mandarin Chinese
  3. Interpreting natural language text
  4. Identifying the genetic and environmental factors that underlie traits like artistic talent.
  5. Algorithms that can diagnose breast cancer
  6. Algorithms that can identify skin cancer
  7. Algorithms that can help with myopia diagnosis.
  8. Analyzing walking speeds using AI

Conclusion

A roadmap for achieving significant performance for inference without compromising performance for training AI algorithms is a Crucial Step in AI.

As you can see, AI-driven Google products can all be traced back to a quantum computer, which will make a noticeable difference in future technologies.

Most of the internet giants are all focused on developing their AI capabilities and looking for ways to move their business model away from being based on advertising.

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