Biogerontology Research Foundation Chief Science Officer (CSO) co-authored the landmark paper in the journal Oncotarget on the convergence of blockchain and AI to decentralize and galvanize healthcare and biomedical research.
University of North Carolina Lineberger Comprehensive Cancer Center-led study has demonstrated the ability of cognitive computing to scour large volumes of data from scientific studies and databases to identify potentially relevant clinical trials or therapeutic options for cancer patients based on the genetics of their tumors. The findings suggest that cognitive computing applications could help physicians to stay abreast of scientific literature and highlight potential therapeutic options, specifically as it relates to cancer genetics.
As any wine enthusiast knows, the 'legs' that run down a glass after a gentle swirl of vino can yield clues about alcohol content. Interestingly, the physical phenomenon that helps create these legs can be harnessed to propel tiny motors to carry out tasks on the surface of water. Scientists demonstrate the motors in a report in ACS' journal Langmuir.
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.
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published in Brain.
A faster collision detection algorithm could enable robots to work more fluidly in the operating room or at home for assisted living. The algorithm, dubbed 'Fastron,' runs up to 8 times faster than existing collision detection algorithms. It uses machine learning to help robots avoid moving objects and weave through complex, rapidly changing environments in real time.
Technology developed at the University of Waterloo is paving the way for artificial intelligence (AI) to break free of the internet and cloud computing.
Advanced prosthetic limbs and eyes as well as brain-machine interfaces are harnessing existing neural circuitry to improve the quality of life for people with sensory impairment, according to studies presented today at Neuroscience 2017, the annual meeting of the Society for Neuroscience and the world's largest source of emerging news about brain science and health.
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.
Experts of the Faculty of Informatics, Mathematics, and Computer Science at the Higher School of Economics have created an automatic system capable of identifying emotions in the sound of a voice. Their report was presented at a major international conference -- Neuroinformatics-2017.