“I cannot stretch my imagination se far, but I do firmly believe that it is practicable to disturb by means of powerful machines the electrostatic condition of the earth and thus transmit intelligible signals and perhaps power. In fact, what is there against the carrying out of such a scheme? We now know that electric vibration may be transmitted through a single conductor. Why then not try to avail ourselves of the earth for this purpose? We need not be frightened by the idea of distance. To the weary wanderer counting the mile-posts the earth may appear very large, but to that happiest of all men, the astronomer, who gazes at the heavens and by their standard judges the magnitude of our globe, it appears very small. And so I think it must seem to the electrician, for when he considers the speed with which an electric disturbance is propagated through the earth all his ideas of distance must completely vanish.”
“On Light And Other High Frequency Phenomena.” Lecture delivered before the Franklin Institute, Philadelphia, February 1893, and before the National Electric Light Association, St. Louis, March 1893.
UCLA unveils augmented reality teaching sandbox that lets you sculpt mountains, canyons and rivers, then fill them with water or even create erupting volcanoes.
Designer and artist is experimenting with ARKit to place and control cute characters he has created and place them in realworld scenes:
A post shared by Jeff Chang (@jeffchangart) on Aug 28, 2017 at 8:03am PDT
A post shared by Jeff Chang (@jeffchangart) on Sep 11, 2017 at 6:03pm PDT
A post shared by Jeff Chang (@jeffchangart) on Sep 12, 2017 at 6:08pm PDT
A post shared by Jeff Chang (@jeffchangart) on Sep 13, 2017 at 6:15pm PDT
Jeff has a Tumblr account [@jeffchangart] but you can find updates on Instagram here
https://vimeo.com/175247441
“Making an AI machine play and be naturally curious is key”
- Mark Sagar, Academy Award-winning AI engineer on the future of AI in animation.
What’s next for AI? We spoke with 30 visionaries in AI to learn where they think the technology is heading.
See the full interview →
Machine gun position on the German R-class Zeppelin ‘LZ 63’, 1916-17
via reddit
Video from deepython demonstrates an object recognition neural network framework applied to footage taken in New York:
This is a state of the art object detection framework called Faster R-CNN described here https://arxiv.org/abs/1506.01497 using tensorflow.
I took the following video and fed it through Tensorflow Faster R-CNN model, this isn’t running on an embedded device yet.
Link
Japanese programmer has unveiled proof-of-concept effects for Augmented Reality game made with ARKit including visual filters and Predator-like optical camouflage:
ミッション1【野良アンドロイド(光学迷彩搭載機)の発見・確保】 #ARKit pic.twitter.com/7m0esEGrUt
— kidachi (@kidach1) August 19, 2017
[Bing Translation:] Mission 1 [Nora Android (optical camouflage aircraft) find & secure] #ARKit
You can follow Kidachi on Twitter here
Google Translate writes weird poetry if you repeat random characters.
(Above, my own experiments. Inspired by https://twitter.com/smutclyde )
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Bitsquare, decentralised #bitcoin exchange