A team of researchers at the University of Bristol has developed a deep learning neural network that can identify the best way to minimize or maximize coloring to allow for blending into a background or standing out. In their paper published in Journal of the Royal Society Interface, the team describes their network and possible uses for it.
* This article was originally published here
Thursday, 30 May 2019
NICER's night moves trace the X-ray sky
In this image, numerous sweeping arcs seem to congregate at various bright regions. You may wonder: What is being shown? Air traffic routes? Information moving around the global internet? Magnetic fields looping across active areas on the Sun?
* This article was originally published here
* This article was originally published here
Transgender no longer classified as mental health disorder by WHO
(HealthDay)—Transgender people will no longer be classified as having a mental disorder by the World Health Organization.
* This article was originally published here
* This article was originally published here
Renault and Fiat Chrysler stuck over merger terms: report
Talks between Fiat Chrysler and Renault have hit a roadblock over the financial terms of the proposed merger between the Italian-US and French carmakers, the French business daily Les Echos reported online Thursday, citing sources close to Fiat Chrysler.
* This article was originally published here
* This article was originally published here
Nailing digital fakes with AI-learned artifacts
We see the imaginative feats of photo fakery; now we have to figure out what to do about them. Being able to tell fake from real is the goal, but how to get there? Forensics is the key tool to hunt down fake photos and it does not appear to be an easy task in getting that tool to perform well.
* This article was originally published here
* This article was originally published here
Uncovering microgel mysteries
Researchers at Shinshu University successfully recorded previously unexplained behavior of hydrogel microspheres (microgels) using a newly customized tool: temperature-controlled high-speed atomic force microscopy (TC HS AFM). This machine, which is the only one in the world, was assembled by Dr. Takayuki Uchihashi of Nagoya University to investigate proteins. It was applied for the first time to the study of microgels by the team at Daisuke Suzuki Laboratory, Graduate School of Textile Science & Technology and RISM (Research Initiative for Supra-Materials) of Shinshu University. The study lead by first year doctoral candidate, Yuichiro Nishizawa, succeeded in observing the structure of the microgels which had been difficult due to limitations of previous equipment.
* This article was originally published here
* This article was originally published here
Physicists 'teleport' logic operation between separated ions
Physicists at the National Institute of Standards and Technology (NIST) have teleported a computer circuit instruction known as a quantum logic operation between two separated ions (electrically charged atoms), showcasing how quantum computer programs could carry out tasks in future large-scale quantum networks.
* This article was originally published here
* This article was originally published here
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