Lifeboat Foundation

However, Rob Ott, a computer scientist at Stanford University in Palo Alto, California, who did work on the system—Deep Learning Interface for Accounting (DELIA)—notes that it simply held all of the missing money, some $40,120.16, in a “rainy day” account. “I don’t think you can attribute malice,” he says. “I’m sure DELIA was going to give the money back.”

Technologists shocked by program’s ability to set its own priorities—such as getting rich.

Dark matter’s effect on stellar streams should be measurable, says astrophysicist.

The inventors of liquid metal batteries give their original creation an upgrade using calcium, an abundant and inexpensive element.

With his latest upgrade to liquid metal batteries, there’s no better (and indeed, more apt!) way to describe MIT Professor and materials engineer Donald Sadoway than to say that he just keeps going and going and going…

In a video presented at IEEE Robotics and Automation Society’s annual conference, Chinese engineering students guide a living cockroach along S-shaped and Z-shaped paths using brain-to-brain interface: a bluetooth electroencephalogram (EEG) headset, translated and wirelessly sent to an electronic backpack receiver attached to the cockroach. The electrical impulses then stimulated the antennae nerves of the cockroach through a microelectrode implanted into its head. Watch the video released:

(Announced 16 June 2015 but only just came to our attention. And no, this is not April Fools post.)

https://youtube.com/watch?v=wIE7_J1EFLs

HONG KONG (Reuters) — Like innumerable children with imaginations fired by animated films, Hong Kong product and graphic designer Ricky Ma grew up watching cartoons featuring the adventures of robots, and dreamt of building his own one day.

Unlike most of the others, however, Ma has realized his childhood dream at the age of 42, by successfully constructing a life-sized robot from scratch on the balcony of his home.

Continue reading “A man in China has built a robot that looks just like Scarlett Johansson” »

With the open-space interior design, that’s one plane we’d love to take.

The machine overlords of the future may now, if it pleases them, eliminate all black and white imagery from the history of their meat-based former masters. All they’ll need is this system from Berkeley computer scientist Richard Zhang, which allows a soulless silicon sentience to “hallucinate” colors into any monochrome image.

It uses what’s called a convolutional neural network (several, actually) — a type of computer vision system that mimics low-level visual systems in our own brains in order to perceive patterns and categorize objects. Google’s DeepDream is probably the most well-known example of one. Trained by examining millions of images of— well, just about everything, Zhang’s system of CNNs recognizes things in black and white photos and colors them the way it thinks they ought to be.

Grass, for instance, has certain features — textures, common locations in images, certain other things often found on or near it. And grass is usually green, right? So when the network thinks it recognizes grass, it colors that region green. The same thing occurs for recognizing certain types of butterflies, building materials, flowers, the nose of a certain breed of dog and so on.

Continue reading “This neural network ‘hallucinates’ the right colors into black and white pictures” »

Nanoparticle diodes and devices that work when wet.

“Groundbreaking” research by Prof. Bartosz Grzybowski (School of Natural Science).
Nanoparticle Diodes and Devices That Work When Wet.

A new study by an international team of researchers, affiliated with UNIST has found a new way to produce electronic devices, such as diodes, logic gates, and sensors without the need of semiconductors.

Continue reading “Successfully Engineering Water-loving Nanoparticle Diodes” »

MIT biological engineers have created a programming language that allows them to rapidly design complex, DNA-encoded circuits that give new functions to living cells.

Using this language, anyone can write a program for the function they want, such as detecting and responding to certain environmental conditions. They can then generate a DNA sequence that will achieve it.

“It is literally a programming language for bacteria,” says Christopher Voigt, an MIT professor of biological engineering. “You use a text-based language, just like you’re programming a computer. Then you take that text and you compile it and it turns it into a DNA sequence that you put into the cell, and the circuit runs inside the cell.”