The composite red, green, and blue value of every pixel in a digital photo is created through a process is called demosaicing.
Enhance Details uses an extensively trained convolutional neural net (CNN) to optimize for maximum image quality. We trained a neural network to demosaic raw images using problematic examples […] As a result, Enhance Details will deliver stunning results including higher resolution and more accurate rendering of edges and details, with fewer artifacts like false colors and moiré patterns. […]
We calculate that Enhance Details can give you up to 30% higher resolution on both Bayer and X-Trans raw files using Siemens Star resolution charts.
Hmm—I’m having a hard time wrapping my head around the resolution claim, at least based on the results shown (which depict an appreciable but not earth-shattering change). Having said that, I haven’t put the tech to the test, but I look forward to doing so.
We’re experimenting with a way to solve this problem using a technique we call global localization, which combines Visual Positioning Service (VPS), Street View, and machine learning to more accurately identify position and orientation. […]
VPS determines the location of a device based on imagery rather than GPS signals. VPS first creates a map by taking a series of images which have a known location and analyzing them for key visual features, such as the outline of buildings or bridges, to create a large scale and fast searchable index of those visual features. To localize the device, VPS compares the features in imagery from the phone to those in the VPS index. However, the accuracy of localization through VPS is greatly affected by the quality of the both the imagery and the location associated with it. And that poses another question—where does one find an extensive source of high-quality global imagery?
What does the computer interface of the future look like? One bet from Google is that it will involve invisible interfaces you can tweak and twiddle in mid-air. This is what the company is exploring via Project Soli, an experimental hardware program which uses miniature radar to detect movement, and which recently won approval from the FCC for further study.
Almost looks deceivingly pleasant & prosperous in these lovely aerials:
Pyongyang is by far the weirdest and strangest place I have ever been to. At the same time it’s also one of the the most interesting and intriguing places and unlike anywere else I have ever been to. You go there with 100 questions and you return with 1000!
The Childish Gambino Playmoji pack features unique moves that map to three different songs: “Redbone,” “Summertime Magic,” and “This is America.” Pixel users can start playing with them today using the camera on their Pixel, Pixel XL, Pixel 2, Pixel 2 XL, Pixel 3 and Pixel 3 XL.
And with some help from my team:
He even reacts to your facial expressions in real time thanks to machine learning—try smiling or frowning in selfie mode and see how he responds.
Given my experience with my deaf son, who uses cochlear implants, lip-reading, and sign language to communicate with others, I can tell you that these apps—unlike certain misguided Microsoft accessibility efforts, like Cortana screeching during Windows Setup—address real-world problems that impact many, many people. And that they are, thus, both well-intentioned and truly useful. Bravo, Google.
As we know of velociraptors, things tend to go awesome once creatures learn how to open doors. The Verge writes,
The key to the design is the use of interchangeable adhesives on the drone’s base: microspines for digging into rough materials like stucco, carpet, or rubble, and ridged silicone (inspired by the morphology of gecko feet) for grabbing onto glass. Both microspines and silicone ridges only cling to surfaces in one direction, meaning they can be easily detached. With these in place, the micro-drones can pull well above their 100-gram weight, exerting 40 newtons of force or enough to lift four kilograms (about eight pounds).