Example-based Face Stylization - Web Demo

SP. Gynoid (Fembot)

A.I. Artificial Intelligence (2001)

The artificial intelligence boom is here. Here’s how it could change the world around us.

A future with highways full of self-driving cars or robot friends that can actually hold a decent conversation may not be far away.

That’s because we’re living in the middle of an “artificial intelligence boom” — a time when machines are becoming more and more like the human brain.

That’s partly because of an emerging subcategory of AI called “deep learning.” It’s a process that’s often trying to mimic the human brain’s neocortex, which helps humans with language processing, sensory perception and other functions

From allowing us to be understand the Earth’s trees to teaching robots how to understand human life, deep learning is changing our world. Read more (5/26/17)

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Adversarial Examples that Fool Detectors

Computer Vision research from Jiajun Lu, Hussein Sibai and Evan Fabry examines blocking neural network object detection using what appears to look like DeepDream-esque camouflage:

An adversarial example is an example that has been adjusted to produce a wrong label when presented to a system at test time. To date, adversarial example constructions have been demonstrated for classifiers, but not for detectors. If adversarial examples that could fool a detector exist, they could be used to (for example) maliciously create security hazards on roads populated with smart vehicles. In this paper, we demonstrate a construction that successfully fools two standard detectors, Faster RCNN and YOLO. The existence of such examples is surprising, as attacking a classifier is very different from attacking a detector, and that the structure of detectors - which must search for their own bounding box, and which cannot estimate that box very accurately - makes it quite likely that adversarial patterns are strongly disrupted. We show that our construction produces adversarial examples that generalize well across sequences digitally, even though large perturbations are needed. We also show that our construction yields physical objects that are adversarial. 

The paper can be found here

5G, AI & THE NWO’S “SMART” CONTROL GRID

Apple Patents for Automatic 3D Avatar Creation and Emotional States

Something to expect in the future in regards to online identity (both of which were filed today):

A three-dimensional (“3D”) avatar can be automatically created that resembles the physical appearance of an individual captured in one or more input images or video frames. The avatar can be further customized by the individual in an editing environment and used in various applications, including but not limited to gaming, social networking and video conferencing.

I wonder if this will be connected to Apple’s purchase of depth sensor company Primesense [Link to patent file]

Methods, systems, and computer-readable media for creating and using customized avatar instances to reflect current user states are disclosed. In various implementations, the user states can be defines using trigger events based on user-entered textual data, emoticons, or states of the device being used. For each user state, a customized avatar instance having a facial expression, body language, accessories, clothing items, and/or a presentation scheme reflective of the user state can be generated.

[Link to patent file]

ARKit AR RPG (Proof Of Concept)

Developers @lingoded and @JesseBarksdale have been sharing on Twitter demos of Japanese-Style RPGs using iOS ARKit and Unity:

Little info is currently known about the project, but it is clear @lingoded is part of an AR gaming project called GeneReal so this is possibly part of it.

İntel yaptığı robotik çalışma ile piyasada ben varım diyor.. 😊

#robot #robotics #robotik #automation #otomasyon #endüstriyel #endüstri #sanayi #industrial #design #tasarım #teknoloji #technology #tech #mechatronica #amazing #nice #successful #mekatronik #makine #electronics #world #energy #project #programming #control #kontrol #intel #robots

Japan just sent the Int-Ball, a photo and video drone, to the International Space Station. Its mission is to document the astronauts. Previously, astronauts spent 10% of their time doing photo and video documentation. Int-Ball’s footage can be seen in real time.

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Photo-editing app FaceApp now includes Black, Asian Indian and Caucasian filters

On Wednesday morning, the photo-editing app FaceApp released new photo filters that change the ethnic appearance of your face.

The app first became popular earlier in 2017 due to its ability to transform people into elderly versions of themselves and different genders.

These new options, however, will likely cause some outrage: The filters are Asian, Black, Caucasian and Indian.

Selfie apps like Snapchat have taken criticism for filters that apply “digital blackface.” In 2016, Snapchat released a Bob Marley filter that darkened the skin and gave users dreadlocks. Snapchat said another one of its 2016 filters was “inspired by anime,” but many people called it “yellowface,” as it seemingly turned the user into an Asian stereotype.

FaceApp’s newest filters, however, don’t pretend they’re anything but racial. Read more (8/9/17 12 PM)

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Полигонаэдр / Polygonahedron Experiment with rear projection film, Leap Motion and Processing https://vimeo.com/191812588