How Google Uses AI in Google Search?

The past years have encountered huge breakthroughs in the use and application of artificial intelligence as AI is holding a major promise for people across the world. AI already possesses Google core products that are helping billions of people daily. Whether it is asking for movie timing, finding a good fine dining restaurant or searching the nearest doctor, AI is helping in making our everyday experience helpful.

Google is working on AI for more than two decades. Some of its popular products like Lens and Translate were completely built with the help of artificial intelligence technologies such as OCR i.e. Optical Character Recognition as well as Machine Learning. And plentiful other Google products now have in-built AI which is far better, helping many individuals worldwide.

These improvements have become possible only with the invention of Transformer 2017. As considering the ancestor of modern language models, Google now able to build AI language models such as BERT, MUM, PALM, and LaMDA) on top of the architecture that has the ability to do every task ranging from solving complex math problems to replying to questions in new languages.

How Google uses AI in Google Search?

Google is currently using AI in 9 ways, which are discussed below.

Search –

After Google was released, most of the searches were found from the computers accessed in homes, libraries, or computer labs. After twenty-five years, AI is now helping individuals to search in new languages using new inputs like a camera or humming a tune and even using multiple inputs at once. Moreover, one can search on Google using images and text simultaneously and all credit goes to the multisearch function.

Maps –

The AI in Google Maps analyze data to deliver up-to-date information about traffic conditions and delays – sometimes helping to avoid traffic jam altogether. It also automatically updates things such as business hours and speed limits to see the latest information about the world every single day.

Pixel –

The built-in AI in Pixel helps users to translate between 21 languages in chat as well as allow verbal conversation between 6 different languages in interpreter mode.

Photos –

People take a lot of photos but a lot of photos can sometimes bury your memories. So, in 2015, we successfully developed AI in Google Photos so that you can search for photos by what’s in them. And, more recently, we used AI in Photos to make you visit your Memories again.

YouTube –

YouTube AI automatically creates captions for videos, making them accessible to a wider audience, including deaf or difficult in hearing.

Assistant –

Computers understand machine language. So, Google has introduced NLP (Natural Language Processing) technology, specially developed for Assistant that allows understanding and response in a way that mimics human communication which enables one to parse the text of a question that tries to understand the meaning of the question.

Gmail –

We all are well aware of Gmail and its features such as spell check and autocomplete, both are AI-based. But if you have ever wondered why Gmail contains less spam as compared to other email services, then take a look at its AI. The spam filtering is AI powered, the spam emails are automatically detected by AI and then it immediately block them before they land in the INBOX folder. This prevents more than 99.9% spam emails, malware, and phishing attempts from reaching.

Ads –

Large and small businesses around the world are dependent on Google Ads to find their customers to enhance their work. This has become easier with AI. Whenever advertisers tell the campaign goals and share creative assets, AI will automatically produce and run effective ad campaigns across all Google properties to cater budget.

Cloud –

At last, AI has enhanced many Google products and Google is excited to hand over the power of AI to different businesses so that they can change the way they work and grow accordingly. Google Cloud has built AI into numerous solutions that our customers can customize to fulfill unique requirements such as DocAI to process documents, Contact Centre AI for call center operations, Vertex Version AI for analyzing images and videos, Translation hub to translate 100+ languages at scale, and many other examples.

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