A team of leading computer scientists has developed a novel computational system to aid the design and fabrication of wind-up toys, focusing on automating the intricate interior machinery responsible for the toys' wind-up motion.
Rice University materials scientists lead a project to turn strong, light and compressible schwarzites from theory to reality with three-dimensional printers. The resulting materials share their properties from the nano- to the macroscale.
Red-sensitive, blue-sensitive and green-sensitive colour sensors stacked on top of each other instead of being lined up in a mosaic pattern -- this principle could allow image sensors with unprecedented resolution and sensitivity to light to be created. However, up to now, the reality hasn't quite met expectations. Researchers from Empa and ETH Zurich have now developed a sensor prototype that absorbs light almost optimally -- and which is also cheap to produce.
In a new special issue, Yale's Journal of Industrial Ecology presents the cutting-edge research on this emerging field, providing important insights into its environmental, energy, and health impacts.
Since the late 60's electronic devices have stored and transmitted information (bits) in two-dimensional circuits. Now, researchers at the University of Cambridge have been able to break this barrier by creating a nanoscale magnetic circuit capable of moving information along the three dimensions of space. This breakthrough could lead to an important increase in storage and processing capacities of electronic devices over those used today.
Qubits, the key building blocks at the heart of every quantum computer, are extremely sensitive to interference and need to be shielded from unwanted signals, for example by using so-called nonreciprocal devices. But until now these devices were huge and produced unwanted magnetic fields themselves. Now, scientists at IST Austria have developed a new nonreciprocal device that is only a tenth of a millimeter wide, and -- maybe even more importantly -- is not magnetic.
Researchers from UC Berkeley, UC Davis and TACC used Stampede2 to complete a 100-epoch ImageNet deep neural network training in 11 minutes -- the fastest time recorded to date. Using 1600 Skylake processors they also bested Facebook's prior results by finishing a 90-epoch ImageNet training with ResNet-50 in 32 minutes. Given TACC's large user base and huge capacity, this capability will have a major impact across all fields of science.
In a new essay in Nature, Columbia neuroscientist Rafael Yuste joins more than two dozen researchers in calling for ethical guidelines to cover the evolving use of computer hardware and software to enhance or restore human capabilities.
Researchers from the National Institutes of Health and the University of Chicago improved the speed, resolution, and light efficiency of an optical microscope by switching from a conventional glass coverslip to a reflective, mirrored coverslip and applying new computer algorithms to process the resulting data.
Researchers at MIT and elsewhere have developed a way to make optically based microchips that can flex and bend like rubber and could be used for skin-mounted diagnostics or flexible strain sensors.