Artificial intelligence (AI) has made significant strides in the past several years in terms of both use and application, and it has a bright future ahead of it. Google’s key products, used by billions of people daily, are already powered by AI.
Technology is reviving society globally. A head-to-head battle between AI+search optimization’s top players is the future. Talent acquisition, pricing volatility, and an unimaginable amount of money will be spent on search in the future.
These are nine ways we now employ AI to improve the usefulness of our products, including some of our most recent features:
Read also: The meteoric rise of ChatGPT, an Artificial Intelligence chatbot, worries Google
Search
The majority of searches at the time Google was formed were made on computers found in households, libraries, or computer labs. Twenty-five years later, AI is enabling search in new languages, with new inputs (such as using your camera to look anything up or even humming a song), and even several inputs at once.
How many times have you searched for the perfect clothing, nail painting lesson, or plant care instructions but couldn’t find the proper words?
Google’s multisearch lets you search using photos and text in the app. You can snap a photo and add words to discover a shirt with an unusual wallpaper pattern.
Modern methods for language processing and computer vision are used to power this capability. With Google Multisearch, users can now take a picture of an object to ask questions about it or even narrow down their search by brand, colour, or other details.
Open the Google app on your smartphone or tablet, tap the Lens camera icon, and then either search for one of your screenshots or take a photo of something in the immediate vicinity, like the trendy wallpaper pattern at your neighbourhood coffee shop, to get started.
To add text, slide up and click the “+ Add to your search” button.
Maps
In more than 220 nations and territories around the world, Google Maps is used to drive more than 1 billion kilometers each day. Google Maps employs artificial intelligence (AI) to analyze data and deliver current information about traffic conditions and delays, sometimes assisting users in completely avoiding a traffic jam.
Google and DeepMind, an Alphabet AI research facility, collaborated last year to increase the precision of their traffic forecast tools.
Google Maps has combined billions of Street View and aerial photographs to build a detailed digital model of the world, allowing users to experience a location as if they were physically present before entering.
Using artificial intelligence (AI), Google Maps uses 2D photos of a location to build a highly accurate 3D depiction that models the real complexity of a place, so you can see if a restaurant has wonderful lighting for a date night or a great outdoor dining area.
Translate
Google Translate eliminates linguistic barriers with AI and machine learning. With advanced machine-language-driven translation, the program now supports 133 languages.
The Google Translate app now supports 33 additional languages, all of which may be used whether the user has a network connection or is traveling without one.
In addition to others, the new languages also include Basque, Corsican, Hawaiian, Hmong, Kurdish, Latin, Luxembourgish, Sundanese, Yiddish, and Zulu.
Pixel
In chat, your Pixel phone can now immediately translate between 21 different languages thanks to a recent announcement, and interpreter mode on your Pixel phone can also enable verbal conversations between six different languages.
Magic Eraser on Pixel 6 removes photo distractions with it. A photobomb or electrical lines might ruin the great shot. These can take away from the photo’s focus.
When you take a shot, Magic Eraser can identify potential distractions like people in the background, power lines, and light posts and recommend what you might want to delete. Afterwards, you may select whether to delete them all at once or one by one by tapping.
Based on what you circle, Magic Eraser uses machine learning to figure out what you’re trying to eliminate. Magic Eraser then utilizes machine learning to estimate what the pixels would look like without the distraction.
Photos
People take numerous photographs, yet the profusion of images makes it easy for memories to go missing. In 2015, Google created AI for Pictures to assist users in searching for images based on their content. Google Photos automatically sorts photos by the people, locations, and objects that are significant. Users no longer need to tag or label any of them, nor do they need to create albums manually.
The app can also swiftly edit and combine photographs to let you relive life’s moments. To improve each photo’s color, lighting, and subject, tap once.
Google has used AI in Photos to let customers recall forgotten “memories.” Memories lets you look back on important images, recent highlights, family experiences, favorite pastimes, and more.
As you move through your photo grid, these memories will appear alongside fresh Best of Month memories and trip highlights.
YouTube
In order to make films more accessible to a wider audience, including people who are deaf or hard of hearing, YouTube employs AI to generate captions for videos automatically.
Assistant
Humans speak in a human manner. Until recently, computers did not. Because Assistant uses Natural Language Processing (NLP) AI technology, it can understand and respond in a way that mimics human communication. This enables it to parse the text of your question and attempt to determine its meaning.
AI lets your phone, home, TV, or car comprehend “Hey Google, where’s the closest dog park?” and immediately provide you directions.
Gmail
Autocomplete and spell check are two AI-powered services that we are all accustomed to using. Yet, if you’ve ever wondered why Gmail is less prone to spam than other email providers, look to artificial intelligence.
Gmail’s AI-powered spam-filtering tools block over 99.9% of spam, phishing attempts, and malware.
Google Arts & Culture
“Woolaroo” offers a fresh method for learning about native tongues. It supports the expansion, preservation, and sharing of 17 different world language communities’ languages with you.
Woolaroo, a language learning software, uses machine learning to identify things in front of your camera and suggest translations for them, encouraging language learning and the preservation of heritage languages such as Mori, Louisiana Creole, and Yiddish.