Neural Net Constructs 3D Models Of Your Face From A Single Photo

Augmented reality game with unique semi-transmissive rendering method

Update to project from kidach1 of a game which features enemies with optical camouflage which you can uncover with filters (and it is also possible to play multiplayer):

You can keep track of progress at Twitter or Patreon

Next-System

Japanese developers are creating mobile apps incorporating Augmented Reality for photographic tricks, from free floating object placements to optical camo effects:

[Google Translate:]

I tried to develop a demonstration using ARkit that makes it possible to take movies like MATOX like the cheat technique “The World” used by DIO in the third part of “Joji O’s Strange Adventure” It was. I hope to be able to respond to Google ARCore in the future. 

Optical camouflage like the Ghost in the Shell.前に開発した光学迷彩！#光学迷彩 #Opticalcamouflage #Invisible #ghostintheShell pic.twitter.com/wVlr7Q188t

— next-system (@next_kinesys)

September 7, 2017

Next-System website can be found here

Intel Core with Radeon RX Vega M Graphics Launched: HP, Dell, and Intel NUC http://ift.tt/2CQpCuH

HV. Self-replicating artificial intelligence program named Dorothy.

Galerians: Ash (2002) PS2

SP. Artificial intelligence software calculates the best pose for selling the product and demands it from the model.

Looker (1981)

Sacred Mathematics - Japanesse Temple Geometry

This is a book about a special kind of geometry that was invented and widely practiced in Japan during the centuries when Japan was isolated from Western influences. Japanese geometry is a mixture of art and mathematics. The experts communicated with one another by means of sangaku, which are wooden tablets painted with geometrical figures and displayed in Shinto shrines and Buddhist temples. Each tablet states a theorem or a problem. It is a challenge to other experts to prove the theorem or to solve the problem. It is a work of art as well as a mathematical statement. Sangaku are perishable, and the majority of them have decayed and disappeared during the last two centuries, but enough of them have survived to fill a book with examples of this unique Japanese blend of exact science and exquisite artistry.

Copyright © 2008 by Princeton University Press and Oxford

http://kknop.com/math/sangaku.pdf

“Of course machines can’t think as people do. A machine is different from a person. Hence, they think differently. The interesting question is, just because something thinks differently from you, does that mean it’s not thinking ?”

- The Imitation Game

Hype Cycle : Machine Learning

Project from Universal Everything is a series of films exploring human-machine collaboration, here presenting performative dance with human and abstracted forms:

Hype Cycle ­is a series of futurist films exploring human-machine collaboration through performance and emerging technologies.

Machine Learning is the second set of films in the Hype Cycle series. It builds on the studio’s past experiments with motion studies, and asks: when will machines achieve human agility?

Set in a spacious, well-worn dance studio, a dancer teaches a series of robots how to move. As the robots’ abilities develop from shaky mimicry to composed mastery, a physical dialogue emerges between man and machine – mimicking, balancing, challenging, competing, outmanoeuvring.

Can the robot keep up with the dancer? At what point does the robot outperform the dancer? Would a robot ever perform just for pleasure? Does giving a machine a name give it a soul?

These human-machine interactions from Universal Everything are inspired by the Hype Cycle trend graphs produced by Gartner Research, a valiant attempt to predict future expectations and disillusionments as new technologies come to market.

More Here

Robot uses deep learning and big data to write and play its own music

A marimba-playing robot with four arms and eight sticks is writing and playing its own compositions in a lab at the Georgia Institute of Technology. The pieces are generated using artificial intelligence and deep learning.

Researchers fed the robot nearly 5,000 complete songs — from Beethoven to the Beatles to Lady Gaga to Miles Davis — and more than 2 million motifs, riffs and licks of music. Aside from giving the machine a seed, or the first four measures to use as a starting point, no humans are involved in either the composition or the performance of the music.

继续阅读

Piano player wears an eye tracker so you can see exactly where their eyes move to as they play. Amazing video.