'The beauty of this research is that someone using only a laptop and an object that flickers can detect if someone is using a drone to spy on them,' says Ben Nassi, a Ph.D. student in the BGU Department of Software and Information Systems Engineering and a researcher at the BGU Cyber Security Research Center (CSRC). 'While it has been possible to detect a drone, now someone can also tell if it is recording a video of your location or something else.'
Ophthalmologists' use of electronic health records (EHR) systems for storing and accessing patients' medical histories more than doubled between 2006 and 2016, while their perceptions of financial and clinical productivity following EHR implementation declined, a study published today in JAMA Ophthalmology shows.
Data from the physical sensors in a smart phone could be used by hackers to guess the security PIN and unlock it, says NTU Singapore researchers.
In a new paper appearing in IEEE Access, members of the Camera Culture group at MIT's Media Lab present a new approach to time-of-flight imaging that increases its depth resolution 1,000-fold. That's the type of resolution that could make self-driving cars practical.
Scientists have developed a data-driven method to better detect and track human movements for use in technologies such as at-home personal training videos or monitoring at-risk elderly patients. The scientists published their results in IEEE/CAA Journal of Automatica Sinca (JAS), a joint publication of the IEEE and Chinese Association of Automation. The collaborative research team includes scientists from the University of North Texas, the North China Institute of Aerospace Engineering and Hefei University of Technology.
Researchers have developed an easy-to-build camera that produces 3-D images from a single 2-D image without any lenses. In an initial application of the technology, the researchers plan to use the new camera, which they call DiffuserCam, to watch microscopic neuron activity in living mice without a microscope.
New machine learning method developed by researchers at the University of Helsinki, Aalto University and Waseda University of Tokyo can use for example data on cell phones while guaranteeing data subject privacy.
The iCub humanoid robot represents a standardized common open-source platform for research on embodied artificial intelligence (AI). It is available in 36 copies in laboratories across Europe, USA, South Korea, Singapore and Japan and more than hundred researchers worldwide contribute to develop its skills. Research activities explored the whole spectrum of AI-related areas, ranging from control to machine learning, human-robot interaction, and language acquisition. It is one of the largest open-source teams in the world.
Research teams all over the world are exploring different ways to design a working computing chip that can integrate quantum interactions. Now, Australian and Dutch engineers believe they have cracked the problem, reimagining the silicon microprocessors we know to create a complete design for a quantum computer chip that can be manufactured using mostly standard industry processes and components.
Presenting their work at this year's Conference on Neural Information Processing Systems, Prof. Josh Tenenbaum and one of his students, Jiajun Wu, are co-authors on four papers that examine the fundamental cognitive abilities that an intelligent agent requires to navigate the world: discerning distinct objects and inferring how they respond to physical forces.