Lifeboat Foundation

The Zapata technology platform is the safest, easiest, lightest, most maneuverable, and least expensive personal aviation system ever created.

Capable of being operated with only 20 hours of flight training, or in fully autonomous mode with GPS guidance, ZAPATA’s proprietary balance methodology and algorithms are truly disruptive.

Continue reading “Manufacturer of explosives trace detection acquiring Flyboard Air creator which has envisions many flying platforms” »

Good for USC.

Following a recent upgrade, the USC-Lockheed Martin Quantum Computing Center (QCC) based at the USC Information Sciences Institute (ISI) is now the leader in quantum processing capacity.

With the upgrade — to 1,098 qubits from 512 — the D-Wave 2X™ processor is enabling QCC researchers to continue their efforts to close the gap between academic research in quantum computation and real-world critical problems.

Continue reading “World’s most powerful quantum computer now online at USC” »

Cloud syncing and sharing software company Dropbox today announced that it has released an image compression algorithm called Lepton under an Apache open source license on GitHub.

Lepton can both compress and decompress files, and for the latter, it can work while streaming — that is, files can be expanded back into full size as they are being sent over the network. So Lepton is important for user experience, given how it can more quickly transfer data and show content. But at the same time, it has an impact on the data center infrastructure where files often end up.

“We have used Lepton to encode 16 billion images saved to Dropbox, and are rapidly recoding our older images. Lepton has already saved Dropbox multiple petabytes of space,” Dropbox software systems architect Daniel Reiter Horn wrote in a blog post.

Continue reading “Dropbox open-sources Lepton, a compression algorithm that cuts JPEG file size” »

When Art Inspires AI; AI composes music.

Who says AI is only for big data crunching and driverless car driving?

Music for the game is ‘procedurally’ generated as players move through its universe.

Columbia Engineering Professor Changxi Zheng’s new approach could lead to better tagging and coding, leveraging 3D printing of complex geometries.

New York — July 18, 2016 — Columbia Engineering researchers, working with colleagues at Disney Research and MIT, have developed a new method to control sound waves, using a computational approach to inversely design acoustic filters that can fit within an arbitrary 3D shape while achieving target sound filtering properties. Led by Computer Science Professor Changxi Zheng, the team designed acoustic voxels, small, hollow, cube-shaped chambers through which sound enters and exits, as a modular system. Like Legos, the voxels can be connected to form an infinitely adjustable, complex structure. Because of their internal chambers, they can modify the acoustic filtering property of the structure—changing their number and size or how they connect alters the acoustic result.

“In the past, people have explored computational design of specific products, like a certain type of muffler or a particular shape of trumpet,” says Zheng, whose team is presenting their paper, “Acoustic Voxels: Computational Optimization of Modular Acoustic Filters,” at SIGGRAPH 2016 on July 27. “The general approach to manipulating sound waves has been to computationally design chamber shapes. Our algorithm enables new designs of noise mufflers, hearing aids, wind instruments, and more — we can now make them in any shape we want, even a 3D-printed toy hippopotamus that sounds like a trumpet.” VIDEO: http://www.cs.columbia.edu/cg/lego/

The warning from QuintessenceLabs’ CTO John Leisoboer is stark. “When sufficiently powerful quantum computers become generally available,” he says, “it’s guaranteed to break all existing cryptographic systems that we know of.”

In other words, he adds, “Everything that we’re doing today will be broken.”

It’s a sentiment echoed by Google’s Chrome security software engineer Matt Braithwaite who wrote in a blog post earlier this month that “a hypothetical, future quantum computer would be able to retrospectively decrypt any internet communication that was recorded today”.

Continue reading “Can we find a quantum-resistant algorithm before it’s too late?” »

https://youtube.com/watch?v=jg8iCnQTLfM

A team has used simple quantum processors to run “quantum walk” algorithms, showing that even primitive quantum computers can outperform the classical variety in certain scenarios—and suggesting that the age of quantum computing may be closer than we imagined.

By now, most readers of Futurism are probably pretty well acquainted with the concept (and fantastic promise) of quantum computing.

Continue reading “Primitive Quantum Computers Are Already Outperforming Current Machines” »

This is one of those sites you’re going to want to try yourself. Take any black and white image, feed it to the algorithm, and watch as it spits out its best guess at a color version, which is often quite convincing.

Using a deep learning algorithm developed by Richard Zhang, Phillip Isola, and Alexei Efros of UC Berkeley, the process was trained on one million images. Though it currently fools humans only 20% of the time, that’s still a significantly higher rate than previous iterations and represents an exciting step forward, and further training should only increase that rate. Imagine a time when Photoshop can colorize a photo in one step, leaving the end-user to just tweak a few hues here and there. Such a capability would be huge for restoring old family photos and the like.

I played with it a bit today, and the results were rather interesting. It struggles a bit with skin tones, which may be due to dataset bias (meaning the team may have trained it more with landscape-style images), but often the results are fairly good and definitely close enough that they could be tweaked to believability without a lot of effort.

Continue reading “Deep Learning Algorithm Automatically Colorizes Photos” »