In 'A Theory of How Columns in the Neocortex Enable Learning the Structure of the World,' published in Frontiers in Neural Circuits, Numenta researchers propose a new theory for how the brain learns models of objects through movement. The paper introduces a missing ingredient to sensory input processing: a location signal relative to the object being sensed. An accompanying repository containing the paper's source code, data and scripts allows other scientists to reproduce the results.
Scientists from ITMO University created a high-speed video capillaroscopy system that enables direct measurement of red blood cell velocity. Coupled with sophisticated software, the system can raise the bar on the accuracy of vascular condition assessment. Such a system can come in useful for monitoring how efficient certain therapies are. The results of the research were published in Optics and Lasers in Engineering.
On Nov. 14, scientists with the California Institute of Technology, the University of Washington and eight additional partner institutions, announced that the Zwicky Transient Facility, the latest sensitive tool for astrophysical observations in the Northern Hemisphere, has seen 'first light' and took its first detailed image of the night sky. When fully operational in 2018, the ZTF will scan almost the entire northern sky every night.
Skilful voice impersonators are able to fool state-of-the-art speaker recognition systems, as these systems generally aren't efficient yet in recognising voice modifications, according to new research from the University of Eastern Finland. The vulnerability of speaker recognition systems poses significant security concerns.
Technology developed at the University of Waterloo is paving the way for artificial intelligence (AI) to break free of the internet and cloud computing.
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.
A multi-disciplinary team of researchers from LMU and TUM in Munich simulated the largest, longest multiphysics earthquake simulation to date at the Leibniz Supercomputing Centre. Its work is up for best paper at SC17.
Researchers from ITMO University and Center of Physical and Chemical Medicine developed an algorithm capable of tracking the spread of antibiotic resistance genes in gut microbiota DNA and revealed additional evidence of resistance genes transfer between different bacterial species. The method can not only contribute to the development of effective therapy schemes, but also curb the spread of superbugs. The results of the research were published in 'Bioinformatics' journal.
Human traits such as the face, voice, and gait are commonly used for biometric-based person recognition. Although gait is one of the most practical traits for video-based surveillance and forensics, this approach is susceptible to intra-subject variations. Osaka University-based researchers proposed a new convolutional neural network-based approach to gait recognition, which exhibits robustness (insensitiveness) to spatial displacement. Their approach outperformed current benchmarks in terms of verification/identification tasks and view differences.