PHOTOTIME APP REVIEW FOR ANDROID

More impressive than the tagging features, though - and the thing that could really set it apart from other deep-learning-powered photo-tagging applications, including well-heeled ones such as Google+, Facebook and Flickr - is that PhotoTime actually indexes the album locally on users’ phones.

PHOTOTIME APP REVIEW FOR ANDROID

I can’t vouch for its accuracy personally because the PhotoTime app for Android isn’t yet available, but I’ll give it the benefit of the doubt. You might search your smartphone, for example, for pictures of flowers you snapped in San Diego, or for pictures of John Smith at a wedding in Las Vegas in October 2013. L to R: Yuxin Wu, Yi Li, Wei Xia and Meng Wang. (If you want to get a crash course in what deep learning is and why web companies are investing billion of dollars into it, come to Structure Data in March and watch my interview with Rob Fergus of Facebook Artificial Intelligence Research, as well as several other sessions.) The field has made big strides in recent years, largely with regard to machine-perception workloads such as computer vision, speech recognition and language understanding. The more data that deep learning systems have to train on, the better they perform. But it looks really promising and, more importantly, it isn’t focused on business uses like so many other recent deep-learning-based services, nor has it been acquired and dissolved into Dropbox or Twitter or Pinterest or Yahoo.ĭeep learning, to anyone unfamiliar with the term, is essentially a term for a class of artificial intelligence algorithms that excel at learning the latent features of the data they analyze. It’s called PhotoTime and, yes, it’s yet another photo-tagging app. A Sunnyvale, California, startup called Orbeus has developed what could be the best application yet for letting everyday consumers benefit from advances in deep learning.

Phototime app review