What if your camera could professionally retouch your photos… before you even shoot them? That’s what researchers at Google and MIT are currently working on.

Adobe last year teased a new Mac and Windows photo editor, with the project known as Nimbus. The app appeared to borrow heavily from the simplified iPad version of Lightroom, with a key feature being that both images and edits are stored in the cloud. The idea was that users should be able to switch back and forth between desktop and mobile editing.

To explore how ML can learn subjective concepts, we introduce an experimental deep-learning system for artistic content creation. It mimics the workflow of a professional photographer, roaming landscape panoramas from Google Street View and searching for the best composition, then carrying out various postprocessing operations to create an aesthetically pleasing image. Our virtual photographer “travelled” ~40,000 panoramas in areas like Alps, Banff and Jasper National Parks, big sur in California, and Yellowstone National Park, returned with creations that are quite impressive, some even approaching professional quality — as judged by professional photographers.

It’s a weird idea, but scientists have actually been using the genetic wondertool known as CRISPR or “clustered regularly interspaced short palindromic repeats” for data storage parlor tricks for some time.

There’s a new version of the MarsEdit blog publishing software out, and Mac users running the current version can try out the public beta for free ahead of its release. MarsEdit 4 is the first major release in more than seven years and brings editor and WordPress-specific enhancements, auto-save and version history, a Safari app extension, and much more.

When asked if there are plans for a “photo processor/organizer,” Affinity replied that it has a Digital Asset Manger in the works.

The brainiacs at Caltech have produced something really cool: an imaging chip that produces an image from light sensors… without lenses. It’s a chip that could be the birth of the future of photography.

The photo app developers I spoke with are overwhelmingly excited about a range of WWDC announcements, even though one of these dumbfounded several developers. We’ll get into that one later; let’s start with the four most exciting announcements.

Hidden deep inside Apple’s WWDC 17 was an announcement that made little waves but that might have great repercussion: In their OS11 release, the Cupertino company plans to store images using their new HEIF format rather the almighty JPEG. The reason? HEIF compression takes half the space of the JPEG compression, suddenly doubling storage for photos.

At this year’s jam-packed WWDC 2017, Apple introduced two new camera formats that are included in iOS 11: HEVC and HEIF. In using the new camera formats, Apple estimates users will be able to save up to 50% on storage needs, without any loss in image quality. This becomes the perfect solution for users on lower capacity devices, that still want to take advantage of the iPhone’s great camera.

Affinity Photo was shown off as a part of Apple’s WWDC introduction of its newest iPad Pro hardware. The app takes advantage of the new iPad Pro hardware features, such as the 120Hz refresh rate, for a smooth photo editing experience.

Many of the improvements in the Photos and Camera apps come from machine learning. Using artificial intelligence technology, iOS 11 will be able to add newfangled effects to your Live Photos, such as long exposure blur, intelligent loops, and boomerang-style ‘bounce’ sequences.

A curved sensor bestows several potential benefits for cameras and particularly lenses. Many of the optical elements used by lens manufacturers are in place to correct optical distortions and bend light so that it can land on a flat sensor. With a curved sensor, you should be able to ditch the lens elements responsible for flattening an image and also the elements used to correct distortions introduced by the flattening elements. The result is not simply lighter and smaller lenses, but higher quality ones at that.

While billions of images are being shared daily, little to nothing is known about how viewers respond to them. Until now. Using hundreds of thousands of data points extracted from million of images, Picasso Labs offers the first A.I. powered insight tool for images. Thanks to its deep analytical resources, it helps brands and marketers understand which images work best for what audience, and why.  We sat down with founder and CEO Anastasia Leng to learn more:

Toggles include automatic and manual control; gesture-based ISO, shutter speed, and white balance adjustments; RAW + JPG capture; plus a 3×3 grid and super handy level tool. These settings can be adjusted on-the-fly with a swipe down and a tap or completely hidden based on what you want to see. No need to close the Camera app and dig through Settings to toggle a grid or geotagging.

This week, Google’s AlphaGo program beat the world’s best Go player, Ke Jie, in 2 straight games in a best of 5 series. Go is considered to be the world’s hardest board game, and some AI experts didn’t think that a machine would be able to best humans for another decade.