Facebook is Now Using AI Like No Other, Here are the Top Use Cases

Facebook

FacebookHere is the list of top use of AI by Facebook that shows how the company’s platform relies on technology to work

Facebook doesn’t just research and develop AI. The company’s platform relies on technology to work. Facebook’s AI capabilities start with a text. The company’s DeepText system is a deep learning engine that understands text on the platform with near-human accuracy. Composed of several neural networks, DeepText uses these networks to process the written word as it’s used on Facebook. The resulting data can be used in many ways: the company can now understand more than 20 languages to serve a global audience and better understand queries in its Messenger app. Similar to this there are other examples of Facebook using AI. This article lists the top uses cases of AI by Facebook 

 

Automatic Image Recognition

Deep learning and AI experts are building and improving upon image recognition software. Recent image classifiers can search through one’s photos without relying on tags or surrounding text, but based on the image alone. The goal of the researchers is to understand what’s going on in the photos and answer questions about it without the need for human intervention.  

 

Mapping Population Density

Through the use of AI, Facebook is now working to map the world’s population density. The company revealed some details about this immersive technology back in 2016 when it created maps for 22 nations. Today, Facebook’s maps cover the majority of Africa and it won’t be long before the whole world’s population is mapped. With the help of satellite imagery and AI, this tedious task is getting completed. 

 

Translation

Facebook users spread out all around the world and more than half do not speak English. To remove these communication barriers, the Applied Machine Learning team built an AI-based automatic translation system that helps 800 million people every month see translated posts in their News Feed (Feed). Non-traditional, the language used on our platform is different from others. Facebook is all about human-to-human language: It’s alive, people use new expressions all the time, they don’t spell out their words, there are regional differences, and there are emojis.

 

AI Chatbots

Bots are providing automatic subscription content and customizing communications for both end-users and advertisers. Three main capabilities of Facebook’s bot API used in its messenger platform are: Send/Receive API which is used for sending and receiving texts, images, and rich CTAs, Message Template which involves premade message templates allowing customers to see beautiful, user-friendly images on a tap of a button and Welcome Screen which is a place where people discover the features of a chatbot and trigger new conversations.

 

Tackling Harmful Content

Facebook parent Meta has created artificial intelligence technology that can adapt more quickly to new types of harmful content, including posts discouraging COVID-19 vaccinations. Generally, AI systems learn new tasks from examples, but the process of gathering and labeling a massive amount of data typically takes months. Using technology Meta calls Few-Shot Learner, the new AI system needs only a small amount of training data so it can adjust to combat new types of harmful content within weeks instead of months.

 

Talking Pictures

Artificial Intelligence engineers and deep learning experts at Facebook are building “Talking Images” for visually challenged people. The software enables one to read the image. It is also making the image search more powerful. It is called image segmentation. This would allow users to say the search for a photo of five on skiing in the snow with specific backgrounds. 

 

Self-Supervised Algorithm

Meta AI developed data2vec, the first high-performance self-supervised algorithm that works for multiple modalities. It applies data2vec separately to speech, images, and text and it outperformed the previous best single-purpose algorithms for computer vision and speech and it is competitive on NLP tasks.