News

Microwaves across Europe are 6 minutes slow due to a Serbia-Kosovo grid dispute

Amazon admits Alexa is laughing at people and is working on a fix

‘Deep Voice’ Software Can Clone Anyone’s Voice With Just 3.7 Seconds of Audio

Google Skaffold – Easy and Repeatable Kubernetes Development

Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application.

Google Engineers Think This 72-Qubit Processor Can Achieve Quantum Supremacy

Giant atom hides its neighbors under a single-electron skirt

You may be familiar with matryoshka dolls: nested sets of painted figurines that fit within painted figurines. In the case of wooden dolls, the concept is pretty straightforward: hollow out a large bit and fit smaller bits in. You might think that doing the same thing with atoms is kind of tough.

Our Microbiomes Are Making Scientists Question What it Means to Be Human

Automatic Machine Knitting of 3D Meshes

We present the first computational approach that can transform 3D meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting machine. Knitting machines are able to robustly and repeatably form knitted 3D surfaces from yarn, but have many constraints on what they can fabricate.

Nanowire arrays restore vision in blind mice

Retina is an important light-sensitive tissue that transduces light information into neural activities through multi-layers of neuronal cells. Light entering an eye passes through the transparent retina and is mostly captured by the visual pigment-containing photoreceptors. Retinal degenerative diseases such as retinitis pigmentosa and macular degeneration lead to irreversible damage or even loss of photoreceptors, which can result in serious impairment of vision and eventually blindness.

Solving visual analogy puzzles with Deep Learning

Bongard problmes are named after their inventor, Soviet computer scientist Mikhail Bongard, who was working on pattern recognition in the 1960s. He designed 100 of this puzzles, to be a good benchmark for pattern recognition abilities, and they seem to be challenging for both people and algorithms. Here is an example: