Blinq is Testing an AI Algorithm to Guess Attractiveness
Alyson Wyers — January 13, 2016 — Tech
References: howhot.io & techcrunch
Following an app that hilariously misjudged people's ages using artificial intelligence, this dating app is testing an AI algorithm to guess age and attractiveness. PhD student Rasmus Rothe from ETH Zurich's Computer Vision Lab developed the technology behind this endeavor from Swiss smartphone application Blinq. They build a stand-alone site called howhot.io to test drive the AI algorithm.
Blinq Co-Founder Jan Berchtold hopes to integrate this algorithm into the dating app so users will have a better idea which of their photos will perform better. This is based on the premise that robotically judged hotness will result in more matches and potential relationships. Image data and attractiveness ratings from the app are fed into the algorithm.
Blinq Co-Founder Jan Berchtold hopes to integrate this algorithm into the dating app so users will have a better idea which of their photos will perform better. This is based on the premise that robotically judged hotness will result in more matches and potential relationships. Image data and attractiveness ratings from the app are fed into the algorithm.
Trend Themes
1. AI-based Dating - Opportunity to disrupt the traditional dating industry by using AI-based algorithms to help users find their most attractive matches.
2. Automated Image Analysis - Opportunity to innovate image analysis by automating the process to judge attractiveness and age, allowing for more accurate judgements and potential commercial applications in other industries.
3. AI-based Marketing - Opportunity to innovate marketing industries by using AI to help individuals choose the photos that will perform the best and therefore bring more success to their commercial campaigns.
Industry Implications
1. Online Dating - Opportunity to integrate the AI algorithm into already existing online dating platforms in order to better match users and increase success rates.
2. E-commerce - Opportunity to use the technology behind the algorithm in the E-commerce industry to analyze product images and potentially increase sales by suggesting better quality images that may make a particular product more appealing to the target audience.
3. Photography - Opportunity to innovate the traditional photography industry by automating image analysis to help photographers create more attractive photos and appeal to more customers.
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