Jason Momoa Starring in Apple's 'See' Original TV Series

Jason Momoa, well known for his role as Khal in Game of Thrones, has been signed for the lead in Apple’s original TV series See. The show is a futuristic “world building drama” written by Steve Knight and directed by Francis Lawrence. Variety says Momoa’s character is “Baba Voss, a fearless warrior, leader and guardian,” which is pretty much what he’s known for playing. That said, Apple isn’t shying away from big-name talent for the shows in its upcoming television series lineup.

Affinity Designer Comes to iPad

Affinity Designer made a name for itself as a premier vector art app on the Mac, and now it’s available for the iPad. The app is a full-featured as the Mac version, but with an interface designed just for touch. Designer supports Apple Pencil, includes all the design tools you’d expect in a professional desktop vector design app, and exports to popular formats such as PSD, EPS, SVG, PDF, and PNG. Affinity Designer is currently 30% to celebrate its launch so you can pick it up at Apple’s App Store for US$13.99.

How to Move Notes Between Accounts

If you’ve got notes synced through several different accounts (such as through both iCloud and Google), then you might want to organize everything and move it all into one account instead. In today’s Quick Tip, Melissa Holt’s going to tell us how to get messy notes all cleaned up!

The Complete iOS 11 Developer Course and iOS Mastery Bundle: $29

We have a deal for developers called the Complete iOS 11 Developer Course and iOS Mastery Bundle. It’s comprised of five different training courses for learning to code for iOS 10 and iOS 11, as well as beginner courses for tvOS and watchOS, with Swift 3. This bundle is $29, but with coupon code “BUNDLE50” will get you another 50% off.

Nvidia and MIT Created a Photo AI that can Clean up Noisy Photos

Nvidia and MIT have partnered to create a photo AI that can automatically remove noise from images. The system is called Noise2Noise AI and it was trained using 50,000 photos.

In their paper, the researchers show that their AI can successfully remove enough noise to make the pictures usable again, with detail and clarity that’s remarkably close to the source images. The AI could likely find use in software for cleaning up noisy photos captured in low-light conditions on phones and cameras, as well as improving astronomical imagery and MRI scanning.