![]() 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. 2- Translationįacebook users spread out the whole around the world and more than half does not speak English. Additionally, this technology will help match users with advertisers, weed out prohibited content, rank search results, and identify trending topics. If we take an example, Deep Text ventures to understand how people use slang and determine the specific meaning of a word that may have multiple meanings by understanding the context. User’s comments and posts feed Facebook text data and the machines should be able to discern relationships between words on their own by breaking down the texts into individual letters and even exclamation marks. īut language is more complicated for computers to parse than simply identifying objects in pictures. For example, a human needs to train a computer to recognize the difference between the sentences “I need a taxi” and “I just got out of a taxi.” The Deep Text software system is essentially a combination of unsupervised learning that trains computers to recognize basic relationships between words and supervised learning, which further trains the computers to recognize more complex patterns in text. With deep learning, the computers learned on their own that “taxi” and “ride” are typically grouped together, but it still needs human help to ensure that the computers learn additional context. By analyzing a large number of images, it can learn from the context of the image – what else is likely to be present in an image of a cat? What text or metadata might suggest that an image contains a cat? A simple example is a deep learning image analysis tool which would learn to recognize images which contain cats, without specifically being told what a cat looks like. The significant part, Deep learning can help improve things like speech and object recognition, and it can play an important role in advancing research in fields as diverse as physics, engineering, biology and medicine.ĭeep Learning techniques enable machines to learn to classify data by themselves. Let’s begin the fundamental part of AI: Deep Learning “If you’ve logged into Facebook, it’s very likely you’ve used some type of AI system we’ve been developing” ![]() ![]() According to Kevin Lee, a technical program manager at Facebook and author of the blog. Īnd no one has more data about us than Facebook.įacebook AI Multiple to various working areas. Mobile adoption also continues its upward momentum with 1.74 billion monthly active users, a 21 percent rise.Īll of the people are uploading 136,000 photos and updating their status 293,000 times per minute until recently Facebook could only hope to draw value from a tiny fraction of its unstructured data – information which isn’t easily quantified and put into rows and tables for computer analysis. 1.23 billion people use the site daily, up 18 percent annually. Researches are related to AI and to deriving knowledge from data: theory, algorithms, applications, software infrastructure and hardware infrastructure.ĭata is given from the news February 2017, user numbers continue to rise for Facebook as there are now 1.86 billion monthly active users, a 17 percent increase from this time last year. Facebookfounder Mark Zuckerberg explains their goal is to help computers to “understand language more like a human would with context, instead of rote ones and zeroes memorization like a machine.” Precisely because of this Facebook has Facebook Artificial Intelligence Researchers (FAIR) to understand and develop systems with human level intelligence by advancing the longer-term academic problems surrounding AI. ![]()
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