But the days of deliberating whether or not to include your friends, dogs, or selfies in your dating app profile could soon be a thing of the past, thanks to Tinder. The dating app has released a new tool called'Photo Selector', which uses AI to choose the best photos for your dating profile. 'By alleviating the burden of photo selection, Photo Selector empowers users to focus more on making meaningful connections rather than spending excessive time on photo selection,' Tinder explained. 'This AI innovation promises to inject more spontaneity into the online dating experience.' Tinder has released a new tool called'Photo Selector', which uses AI to choose the best photos for your dating profile To use the tool, open the Tinder app and select'Add media' on your profile. First, you'll be prompted to upload a photo of yourself, or take a selfie.

Zenfolio, the website builder and photo sharing site, recently introduced technology that applies AI to assist photographers (opens in new tab) in selecting the best photos from the thousands of shots typically taken during a photo session. The advanced image recognition technology is tremendously powerful and can make photographers more efficient than they ever dreamed. When exploring the best way to roll out AI to the photography community, Zenfolio had some fascinating discussions about corporate responsibility generally, and its obligations specifically. The concept of AI was theorized centuries ago by Greek philosophers (opens in new tab), with myths about Talos and Pandora creating chaos and destruction. Perhaps these cautionary tales about artificial beings influence our thinking today.

It turned out that Xiaomi is working on a new feature for MIUI 12. This feature, which will improve users' camera experience, resembles the Top Shot feature on Pixel phones. It is currently unknown when this feature, which is currently in beta version and is not available, will be available. Chinese technology manufacturer Xiaomi has been working on its new mobile interface, which it has called MIUI 12 for a while.

Visual aesthetics has been shown to critically affect a variety of constructs such as perceived usability, satisfaction, and pleasure. However, visual aesthetics is also a subjective concept and therefore, presents its unique challenges in training a machine learning algorithm to learn such subjectiveness. Given the importance of visual aesthetics in human-computer interaction, it is vital that machines adequately assess the concept of visual aesthetics. Machine learning, especially deep learning techniques have already shown great promise on tasks with well-defined goals such as identifying objects in images or translating from one language to another. However, quantification of image aesthetics has been one of the most persistent problems in image processing and computer vision.

Beauty is in the eye of the beholder, or so the saying goes, and the same is often true when trying to pick out a perfect photography. Say you've got ten relatively similar shots of a loved one, family pet, or a stunning landscape – which one is the perfect shot and, crucially, why? It's a tough question to answer as there are multiple factors at play. It could be the shot which is the most competent, with no sign of any pesky blur or noise, but, on the other hand, it could also be the shot which catches the light in a way that makes it more appealing than the rest, even if it isn't technically the best of the bunch. Even if we're not aware of it, the human brain tends to strike a balance between technical quality and aesthetic preference when judging photos.

Frances Haugen was part of the first wave of people to use Google back in 1996. Her mother, a faculty member at the University of Iowa1, showed her the search engine, which was still a research project at Stanford University. Haugen was blown away at what Larry Page and Sergey Brin had built. "The idea that you could actually peer into a giant mountain of data was amazing," she says. Haugen has been obsessed with search technology ever since.