iPhone 8 Rumors: Next Apple Smartphone Release Date Could Feature Face Recognition, 'Wraparound' Screen

International Business Times

The iPhone 8 could include face recognition and a "wraparound" screen design, analyst Timothy Arcuri of Cowen and Company said, according to Business Insider. Arcuri predicts three iPhone models later this year, according to a research note circulated to Cowen and Company clients. The next iPhone 8 is referred to in the note as the "iPhone X." The note says one of the models, the iPhone X, will be a 5.8 inch OLED iPhone 8 with a "wraparound" "fixed flex" screen design with embedded sensors, according to Apple Insider, who also obtained the note. The model is rumored to come with features such as, face recognition.

Virtual assistant spies, saving texts, burner phones, and more: Tech Q&A

FOX News

One of Google's Home smart speakers is seen above. Q: So, do YOU have an Amazon Echo or Google Home smart speaker in your house? I am freaked out that it's always listening. A: Yes, smart speakers are handy. Yes, they can be fabulous for people with physical challenges.

[R] Deep Voice 2: Multi-Speaker Neural Text-to-Speech • r/MachineLearning


TL;DR Baidu's TTS system now supports multi-speaker conditioning, and can learn new speakers with very little data (a la LyreBird). I'm really excited about the recent influx of neural-net TTS systems, but all of the them seem to be too slow for real time dialog, or not publicly available, or both. Hoping that one of them gets a high quality open-source implementation soon!

r/MachineLearning - [P] Realtime Stereo Vision (toy project)


Also, since I happen to have two identical webcams lying around, I adapted the code to also handle concurrent stereoscopic video feeds for the fun of it. It wasn't really meant to be a super rigorous implementation (ie, I used lstm instead of cnn layers), but I still think it had some mildly interesting outcomes. Also, imho the video feed of the loss makes for some fun visual effects.

r/MachineLearning - [D] AMA: I'm Dr. Genevieve Patterson - cofounder and Chief Scientist at TRASH, a new app that uses computer vision and computational photography to intelligently edit together and set to music any videos you upload. Ask me anything!


I had a lot of fun answering. If you're interested in me or the app, please follow us on twitter or insta (@genevievemp and @thetrashapp). If you sent me messages or emails, I'll get back to you as soon as I can. My name is Genevieve Patterson - I'm the Chief Scientist at TRASH, and a PhD in Computer Vision. I've been working on our AI, Otto, for over a year now, and it's getting smarter with every release - here is a blog post about our latest version, and how it collaborates with user inputs.