Artificial intelligence is right up there with robots taking over our jobs. This is the first in a series on how big tech like Facebook uses AI to manipulate you. The number of AI applications has increased rapidly. We speculate and marvel about what AIs will be able to do in the future. But what we don't realise is that AI has already had a huge impact on the goods and services we use every day.

What comes first to mind when you think about social networking? There is even a movie called The Social Network that proves this statement! And with 2.41 Billion Monthly Active Users in the second quarter of 2019, it's safe to say that Facebook is actually not even a social network but a global phenomenon. And obviously, Machine Learning is a vital aspect of Facebook. It would not even be possible to handle 2.4 billion users while providing them the best service without using Machine Learning!

Do you use artificial intelligence (AI)? It might sound like a high-brow discussion for coders and data scientists, but AI is everywhere. If you use an Amazon Echo, you use AI. If you use Facebook or Netflix, AI is used on you. AI is a catch-all term for several different technologies – including machine learning, neural networks, voice recognition and natural language processing – but they all have one thing in common (or should do); they allow machines to learn how to respond to your needs.

The interaction between machines and people is expected to become more lucid and personalized as Artificial Intelligence tools become more advanced and learn to adapt to the dynamic environment around us. This makes AI one of the most compelling advanced technologies for company like Facebook, Inc. (FB), whose primary mode of exchange with people is through technology. Facebook has shown a steady commitment to integrating AI across its services to enhance and enable superior customer engagements. Here's a look at how Facebook is working with AI. With a vision that "artificial intelligence can play a big role in helping bring the world closer together," Facebook has opened a new AI research lab in Montreal as part of Facebook AI Research (FAIR).

On a platform meant to be a safe place to share snapshots of users' lives, Instagram has the greatest cyberbullying problem of all social media sites. But instead of putting the responsibility on their users to report abuse, as Facebook and Twitter have done, Instagram is the first social media outlet to use machine learning to eliminate abusive language on its platform. A recent survey from anti-bullying charity Ditch the Label found that 42% of over 10,000 UK youths between the ages of 12 and 25 found Instagram to be the platform where they were most bullied--with Facebook and Twitter falling behind at 37% and 9%, respectively. And 71% of the subject pool agreed that all social media networks are not doing enough to stop cyberbullying. To address cyberbullying head-on, Instagram recently announced a new strategy: Integrating a machine learning algorithm to detect and block potential bullies on its platform.

Emoticons allow Facebook years to truly express their feelings when words fail. But a new patent reveals the social media giant could be working on a method that shows your friends exactly how you feel. Facebook describes a computing device that detects an emoji in the text box and replaces it with the user's picture that corresponds with the meaning. Facebook describes a computing device that detects an emoji in the text box and replaces it with a user's picture that corresponds with the meaning, which could put an end to no more confusion about how you really feel This innovated patent was filed in March 2016 and was published a few months after – July 28. These emoticons could be a combination of ':)' or ' 3' or even ':('- depending on how you are feeling at the time.

The artificial intelligence (AI) engine "can understand with near-human accuracy the textual content of several thousands posts per second, spanning more than 20 languages," Facebook announced in a blog post Wednesday. Facebook's newest AI system will allow it to continue to personalize content for its billion plus users, as well as weed out spam and hate speech. The engine also marks another major milestone in deep-learning technology, as Facebook, Google, and Microsoft invest heavily in teaching machines to think. "Having good machine learning models is a force multiplier for a lot of the stuff they are doing," Bradley Hayes, a postdoctoral associate at MIT and the creator of the satirical AI chatbot @DeepDrumpf, told The Christian Science Monitor last month. For Facebook, the "scalability" Mr. Hayes refers to is enormous.

John McCarthy once made a telling complaint that still applies to how people have perceived -- or, rather, failed to perceive -- the arrival of artificial intelligence in their lives: "As soon as it works, no one calls it AI anymore." He was more than qualified to carp about the fact, having won the Turing Award and being one of the founding fathers of AI. He even gets credited with coining the very term artificial intelligence back in 1956. Here's how what John McCarthy said relates to what's going on today: Innovations like AI often sneak in on us, gradually merging into the workaday and commonplace. They do it without any of the abrupt upheavals or manic melodramatics we've been conditioned to expect of AI by TV, the movies and (bad) science fiction.

As is so often the case, the giants of the Internet are chasing the same sparkly vision of the future: chatbots. In the coming months and years, these companies promise, you'll chat with Internet services in much the same way you now chat with friends and family. Bots will instantly answer questions, respond to requests, and even anticipate your needs. While chatting with some some old college pals about an upcoming reunion, you'll ask an OpenTable bot for restaurant recommendations. Google's New Allo Messaging App Gets Its Edge From AI Google Has Open Sourced SyntaxNet, Its AI for Understanding Language Facebook Open Sources Its AI Hardware as It Races Google Google's New Allo Messaging App Gets Its Edge From AI Google's New Allo Messaging App Gets Its Edge From AI But a major challenge remains: building chatbots that can actually chat.

In June, Facebook unveiled a new technology with a remarkable ability: DeepText, an artificial-intelligence engine that can understand "with near-human accuracy," according to its engineers, the content in thousands of posts per second–in more than 20 different languages. The program, which promises to grow increasingly adept at grasping the subtleties of human communication, has profound implications for how Facebook serves up content, products, and services to its more than 1.65 billion active monthly users. On Facebook's Messenger app, DeepText can anticipate when someone needs a car and serve up a link to Uber; on the site's News Feed, it can analyze a person's interests to surface the most relevant stories and comments. Ultimately, it can help Facebook create a more personalized and seamless user experience. As CEO Mark Zuckerberg wrote in a June post about his company's AI investments, "One of our long-term initiatives is to build a new generation of Internet services that are more intuitive and can more easily connect you with the things you care about by understanding the meaning of voice, text, images, videos, and other information."