Next time you hear a voice generated by Baidu's Deep Voice 2, you might not be able to tell whether it's human. Baidu, the Beijing-based juggernaut that commands 80 percent of the Chinese internet search market, is investing heavily in artificial intelligence. In 2013, it opened the Institute of Deep Learning, an R&D center focused on machine learning. And in May, it took the wraps off the newest version of Deep Voice, its AI-powered text-to-speech engine. Deep Voice 2, which follows on the heels of Deep Voice's public debut earlier this year, can produce real-time speech that's nearly indistinguishable from a human voice.
Can software identify complex personality traits simply by analysing your face? Faception, a start-up based in Tel Aviv, Israel, courted controversy this week when it claimed its tech does just that. And not just broad categories such as introvert or extrovert: Faception claims it can spot terrorists, paedophiles – and brand promoters. "Using automated feature extraction is standard for face recognition and emotion recognition," says Raia Hadsell, a machine vision engineer at Google DeepMind. The controversial part is what happens next.
In this tutorial, we will learn how to use deep learning to compose images in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys' paper, A Neural Algorithm of Artistic Style, which is a great read, and you should definitely check it out. Neural style transfer is an optimization technique used to take three images, a content image, a style reference image (such as an artwork by a famous painter), and the input image you want to style -- and blend them together such that the input image is transformed to look like the content image, but "painted" in the style of the style image. For example, let's take an image of this turtle and Katsushika Hokusai's The Great Wave off Kanagawa: Now how would it look like if Hokusai decided to add the texture or style of his waves to the image of the turtle?
In a bid to boost its prospects in the world of artificial intelligence (AI), Apple has acquired Israel-based startup RealFace that develops deep learning-based face authentication technology, media reported on Monday. Reported by Calcalist, the acquisition is to be worth roughly $2 million (roughly Rs. 13.39 crores). A Times of Israel report cites Startup Nation Central to note RealFace had raised $1 million in funding thus far, employed about 10 people, and had sales operations China, Europe, Israel, and the US. Set up in 2014 by Adi Eckhouse Barzilai and Aviv Mader, RealFace has developed a facial recognition software that offers users a smart biometric login, aiming to make passwords redundant when accessing mobile devices or PCs. The firm's first app - Pickeez - selects the best photos from the user's album.
Amid rumors that the iPhone 8 will incorporate advanced facial recognition features, the Hebrew-language website Calcalist (via Times of Israel) is reporting that Apple recently acquired Realface, an up-and-coming Israeli startup with impressive real-time facial recognition software. Lending credence to rumors that the iPhone 8 may forgo the use of Touch ID in favor of facial recognition, Realface's software is said to be sophisticated enough such that it can reliably be used as a foundation for mobile-based biometric authentication. As is often the case when Apple acquires a company, Realface's web presence has already been wiped from the web. Still, thanks to the magic of Google, we were able to poke around and dig up some intriguing nuggets of information about the company's promising technology. Realface boasts that it's AI software rests upon deep learning methods and is so reliable and quick that the end-result is an absolutely seamless user experience.