Apple teaches photo editing with over-the-phone classes

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A new Apple training program has just been recently launched. The company offers one on one, thirty minute sessions with a certified editing specialist via the internet. The sessions are held over the phone and aims to encourage photo editing to those who would normally not use such features due to lack of know-how. Many phones are already equipped with photo editing software and the sessions can be for both iOs or MacOs. Auto- enhancement, color balance, and exposure are covered in the session.

Key Takeaways:

  • Apple’s new photo-editing training program offers users a 30 minute one-on-one class with a photo pro, over the phone.
  • Beginners can learn important, but simple adjustments, like how to use Auto Enhance.
  • More advanced users can get tips on deeper forms of editing, like creating color balance and getting the right exposure.

“This is more about encouraging you to make edits in the first place, and that could make the difference between having to live with a so-so shot and refining it into a picture you’d be comfortable sharing with friends.”

Read more: https://www.engadget.com/2018/08/29/apple-photo-editing-classes/

NVIDIA’s AI can fix bad photos by looking at other bad photos

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The technology to clean up poor photos has been around for a while now. This technology is vital, because often photos will prove pixilated. Identities of person’s in the photo can be unclear due to missing features and other important clarity issues. Now, thanks to exciting new developments, the restoration of such photos may be entirely achievable even without a second, accurate photo to compare it with. A new type of implemented, machine-specific learning has now trained AI systems devised to restore such photos to do so even in the absence of clear data. Now, using only corrupted photos, the systems can still recreate an entirely accurate photo, on par with that generated with the use of clean data. This technology can be utilized for text and data and has particularly exciting ramifications for the field of medicine.

Key Takeaways:

  • The technology to repair corrupted photos by comparing them to clean data has been around for a while now.
  • A new machine-specific learning now has AI systems restoring corrupted photos that are on par with those using clean data, without having used such data.
  • The technology saves time and should have vital strategic use in the medical field, where clean images, such as MRIs are of the upmost importance.

“The AI does this by utilizing a neural network that’s been trained using corrupt photos. It doesn’t need a clean image, but it does need to observe the source image twice.”

Read more: https://www.engadget.com/2018/07/10/nvidia-ai-fix-bad-photos-deep-learning/