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ChatGPT can tailor political ads to match users' personalities

New Scientist

Artificial intelligence could be used to present precisely targeted messages to voters at scale, boosting the power of online political campaigns. How does ChatGPT work and do AI-powered chatbots "think" like us? Microtargeting – the use of online data to tailor messaging to individuals – has been used to powerful effect in past elections and became the focus of a 2018 scandal when journalists exposed the work of political consultancy firm Cambridge Analytica in the US and other countries.


Lime dating app matches users based on how active they are

Daily Mail - Science & tech

Tired of swiping right for muscly hunks who turn out to be nothing more than lazy couch potatoes? Then you might a fan of a new app that matches couples based on how many steps they take. Lime describes itself as'Tinder minus the lazy people', and is the first app to use data from Apple's Health app to help people find love. Lime, a new dating app, matches couples based on step count data from the iPhone's in-built Apple Health app The mobile dating service looks at its users step count by gathering data from the iPhone's in-built Apple Health app. The real-time step counts of the app's users are displayed on their dating profiles.


How Facebook Leverages Artificial Intelligence -- The Motley Fool

#artificialintelligence

When Facebook (NASDAQ:FB) suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users, it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition.


Global Bigdata Conference

#artificialintelligence

When Facebook (NASDAQ: FB) suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users, it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition. So accurate, in fact, that Facebook removed the feature for European Union citizens at the EU's request to protect privacy.


Flipboard on Flipboard

#artificialintelligence

When Facebook (NASDAQ: FB)suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users,it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition.So accurate, in fact, that Facebook removed the feature for European Union citizens at the EU's request to protect privacy.


How Facebook Leverages Artificial Intelligence

#artificialintelligence

When Facebook (NASDAQ: FB) suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users, it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition.


How Facebook Leverages Artificial Intelligence -- The Motley Fool

#artificialintelligence

When Facebook (NASDAQ:FB) suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users, it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition.


Tinder dating app can reccomend TV shows based on Facebook likes

Daily Mail - Science & tech

First you could swipe until you found a romantic match and now you can swipe until you find the perfect film. MightyTV has launched a new app that gives users the ability to'swipe away the frustration of what to watch next'. Powered by machine learning and collaborative personalization mechanism, an AI matches users with movies and television shows based on their personal preferences, as well as their friends'. MightyTV has launched a new app that gives users the ability to'swipe away the frustration of what to watch next'. Powered by machine learning and collaborative personalization mechanism, the software matches users with new content based on their personal preferences, as well as their friends' Powered by machine learning and collaborative personalization mechanism, the software matches users with new content based on their personal preferences, as well as their friends'.