Digital Trends writes: “While it’s been clear for quite some time that modern A.I. is getting pretty darn good at generating accurate human faces, it’s a reminder of just how far we’ve come…” The face shown here is just one of many created by an AI, explained in the article. “The results … well, you can see them for yourself by checking out the website. Hitting refresh will iterate an entirely new face.”
Soon there will be artificial people on the internet writing AI created articles. (I am actually one of them.)
John Martellaro and Andrew Orr join Kelly Guimont to discuss webcams and security measures, as well as AI that freaks out even Elon Musk.
The new feature called Enhance Details will be found in Camera Raw, Lightroom Classic CC, and Lightroom CC for macOS and Windows.
Siri is just good enough that it makes us think about where it could go next. John asks the tough questions.
Blockchain technology is sometimes presented as a cure-all – a technology that can improve everything from finance to health, and anything in between. While it may not be able to solve all the world’s ills, there is no doubt that it is a hugely powerful technology that can be used for a large amount of good. One field where the blockchain could have a profound effect is in artificial intelligence, as Yessi Bello Perez outlined on The Next Web.
Unlike cloud-based solutions, the data on a blockchain is broken up into small sections and distributed across the entire computer network. There’s no central authority or control point, and each computer, or node, holds a complete copy of the ledger – meaning that if one or two nodes are compromised, data will not be lost. All that takes place on the blockchain is encrypted and the data cannot be tampered with. Essentially, this means blockchains are the perfect storage facility for sensitive or personal data which, if processed with care with the use of AI, can help unlock valuable bespoke experiences for consumers.
If you have been on Facebook or Instagram recently, you will have noticed the “10 Year Challenge”. Users post a profile picture of themselves from 10 years ago and another from now. It is meant to be a harmless meme that laughs at ourselves and late 2000s fashion. But could there be something more sinister to it? Katie O’Neil wondered in Wired if the “10 Year Challenge” is actually helping Facebook develop a facial recognition algorithm.
Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you’d want a broad and rigorous dataset with lots of people’s pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years. Sure, you could mine Facebook for profile pictures and look at posting dates or EXIF data. But that whole set of profile pictures could end up generating a lot of useless noise…In other words, it would help if you had a clean, simple, helpfully labeled set of then-and-now photos.
Apple is in a mini-crisis. No, Apple isn’t going away. No, Apple can’t ignore the crisis. What’s the best way to look at the situation?
This week’s Particle Debris starts with a retrospective on the promises fulfilled and the failures of the Apple HomePod.
Bryan Chaffin and John Martellaro join host Kelly Guimont to discuss Apple’s attempts at manufacturing in the US, and how to regulate AI.
This week’s Particle Debris leads with an interesting aspect of being loyal to Apple and how much that costs.
Apple has delivered a great product lineup for the 2018 holidays. Now, it’s time to look forward to 2019.
Companies are like organisms: they’re born, they grow, adapt, and have a life cycle. But predicting Apple’s future is very hard to do at this point. We can, however, monitor life signs.
College is fundamentally different from secondary school. Students are more on their own. This is where Apple could make a difference with an education AI.
Dave Hamilton and Andrew Orr join Jeff Gamet to talk about why they expect to see landscape as well as portrait orientation support for Face ID on the new iPad Pro, plus they share their thoughts on the battle for AI supremacy in the U.S. and China.
Modern technology, like AI, can look dorky and error prone in its early stages. We make fun of it. Then it matures before our eyes. Chatted with a lightbulb lately?
John Martellaro and Bryan Chaffin join Jeff Gamet to share their thoughts on how Apple will promote its streaming TV content and follow up on yesterday’s subscription TV overload discussion. They also look at competition in the artificial intelligence space with Google’s new Call Screen feature.
Apple has acquired Danish machine learning startup Spektral. Its technology separates people and objects from a background in photos.
Dictating which news you’re allowed to see stems from Facebook’s corrupted business model. Apple, in contrast, does things in a very subtle, different way. Which company shall endure?
Everyone assumes that the full technological panoply of AI will be judiciously monitored, regulated and contained for the public good. Right. Just like Facebook handled outsider misinformation.
There was a time when Apple, especially Steve Jobs, would spring a surprise on us at an event, and we were delighted. Times are too complex for that now.