Startup Clarifai has developed artificial intelligence technology based on deep learning that can identify what is in a video. This ability could be significant for search engines, which currently have to rely on textual clues around a video to guess what might be in it. Clarifai’s AI has the ability to identify objects, in addition to letting users know exactly when those objects will appear in the video. This technology could be used to help advertisers and other companies analyze their videos. Continue reading Clarifai’s Artificial Intelligence Can Recognize Video Content

By analyzing the acoustic properties of songs on Spotify, intern and PhD student Sander Dieleman hopes to advance the streaming service’s recommendation algorithms to aid users in discovering new and lesser known music. Rather than basing recommendations on the choices people with similar tastes make, they would be based on songs the user listens to. This method, which requires deep learning, would then mix more obscure but user relevant songs into the recommendations. Continue reading Spotify Intern Creates System to Improve Recommendations

Facebook is looking to expand its Graph Search algorithms to account for the use of slang and expressions, and translate them into searchable key words. The company adjusted its search algorithms in January, and the changes mostly worked. The new algorithms signal the beginning of new ways to search user information using natural and nuanced language, and provide more personalized ads. Other tech companies are looking into similar technologies. Continue reading Facebook Turns to Deep Learning to Grow Search Possibilities