Engineers have created an electronic 'skin' in an effort to restore a real sense of touch for amputees using prosthetics.
Bloodhounds are famous for their ability to track scents over great distances. Now researchers have developed a modern-day bloodhound -- a robot that can rapidly detect odors from sources on the ground, such as footprints. The robot, reported in ACS Sensors, could even read a message written on the ground using odors as a barcode.
Abrupt changes of wind power generation output are a source of severe damage to power systems. Researchers at Kyoto University developed a stochastic modeling method that enables to evaluate the impact of such phenomena. The feature of the method lies in its significant computational effectiveness in comparison to standard Monte Carlo simulation, and its applicability to analysis and synthesis of various systems subject to extremum outliers.
Researchers at MIT, who last year designed a tiny computer chip tailored to help honeybee-sized drones navigate, have now shrunk their chip design even further, in both size and power consumption.
A HKU Mechanical Engineering team led by Dr. Kwok Ka-wai recently designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a magnetic resonance imaging ('MRI') scanner. The team also conducted pre-clinical validation of the system with CUHK neurosurgeons, Dr Danny Chan Tat-ming and Professor Poon Wai-sang. This innovative technological breakthrough can facilitate the treatment of Parkinson's disease and other neuropsychiatric disorders.
New data published in Nature Biotech, represents the largest ever analysis of immune cell signaling research, mapping more than 3,000 previously unlisted cellular interactions, and yielding the first ever immune-centric modular classification of diseases. These data serve to rewrite the reference book on immune-focused inter-cellular communications and disease relationships. New Data Published by Nature Biotechnology: Covering 16,000,000 scientific articles, this massive Natural Language Processing (NLP) project quadruples the reference body of organized inter-cellular signalling interactions, plots inter-cellular immune profiles for 188 diseases and creates the first ever immune-centered map of disease similarities and differences.
In a pair of upcoming conference papers, MIT researchers describe a machine-learning algorithm that can register brain scans and other 3D images more than 1,000 times more quickly using novel learning techniques.
Purdue University researchers have created a technology that allows public cameras to send personalized messages to people without compromising their privacy. The team developed a real-time end-to-end system called PHADE to allow this process, known as private human addressing.
A team made of a scientific start-up company and academic researchers has invented a new cell identification and sorting system called Ghost Cytometry. The system combines a novel imaging technique with artificial intelligence to identify and sort cells with unprecedented high-throughput speed. The scientists leading the project hope that their method will be used to identify and sort cancer cells circulating in patients' blood, enable faster drug discovery, and improve the quality of cell-based medicine.
Scientists from the University of Bonn have developed software that can look minutes into the future: The program learns the typical sequence of actions, such as cooking, from video sequences. Then it can predict in new situations what the chef will do at which point in time. Researchers will present their findings at the world's largest Conference on Computer Vision and Pattern Recognition, which will be held June 19-21 in Salt Lake City, USA.