UBC computer scientists have turned Amazon Alexa into a tool for software engineers, tasking the virtual assistant to take care of mundane programming tasks, helping increase productivity and speed up workflow.
Mobile phones and tablets through so-called audio tracking, can be used by means of ultrasound to unnoticeably track the behaviour of their users: for example, viewing certain videos or staying in specific rooms and places. In the project SoniControl, St. Pölten University of Applied Sciences has developed a method for how this undetected (and usually unwanted) spying can be exposed and blocked. The result is the world's first ultrasound-firewall, which is now available for free in the app store.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Lab in the Department of Urban Studies and Planning (DUSP), have designed a fleet of autonomous boats that offer high maneuverability and precise control. The boats can also be rapidly 3D printed using a low-cost printer, making mass manufacturing more feasible.
At the International Conference on Robotics and Automation, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) will present a new lane-change algorithm that splits the difference. It allows for more aggressive lane changes than the simple models do but relies only on immediate information about other vehicles' directions and velocities to make decisions.
Researchers at the Indiana University Observatory on Social Media have launched upgrades to two tools playing a major role in the fight against the spread of misinformation online.
MIT engineers have developed a new virtual-reality training system for drones that enables a vehicle to 'see' a rich, virtual environment while flying in an empty physical space. The system, which the team has dubbed 'Flight Goggles,' could significantly reduce the number of crashes that drones experience in actual training sessions. It can also serve as a virtual testbed for any number of environments and conditions in which researchers might want to train fast-flying drones.
By turning a time-intensive research problem into an interactive game, Princeton neuroscientist Sebastian Seung has built an unprecedented data set of neurons, which he is now turning over to the public via the Eyewire Museum. Maps of retinal ganglion cells were developed machine learning paired with hundreds of thousands of person-hours volunteered by Eyewire gamers who have pieced together these neural cells, using data from a mouse retina gathered in 2009.
Researchers at Toyohashi University of Technology, University of Tokyo and Keio University have found that visual-motor synchronicity of only the hands and feet can induce a sense of illusory ownership over an invisible body interpolated between virtual hands and feet. This active method to induce a sense of illusory ownership over an invisible body at a distance has potential applications in skill learning/transfer and the concept of body-appearance-irrelevant communication in the future.
One out of at least 10 patients records doctors' visits, usually on a cell phone, Apple recently released a new Health Records feature built into the Health app as part of iOS 11.3. No longer a wave of the future, Dartmouth Institute researchers, and their patient co-author, analyze the benefits of digital recordings of healthcare visits, the need to create a new model of health data ownership, and potential cybersecurity threats
Brain-computer interfaces (BCIs) are seen as a potential means by which severely physically impaired individuals can regain control of their environment, but establishing such an interface is not trivial. A study publishing May 10 in the open-access journal PLOS Biology, by a group of researchers at the École Polytechnique Fédérale de Lausanne in Geneva, Switzerland, suggests the most dramatic improvements in computer-augmented performance are likely to occur when both human and machine are allowed to learn.