EPFL scientists have found a fast and simple way to make super-elastic, multi-material, high-performance fibers. Their fibers have already been used as sensors on robotic fingers and in clothing. This breakthrough method opens the door to new kinds of smart textiles and medical implants.
Thermoelectric materials, heated under high magnetic fields, could produce record levels of energy, suggests a new study by MIT researchers.
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.
Data hurtle down fiber-optic cables at frequencies of several terahertz. As soon as the data arrive on a PC or television, this speed must be throttled to match the data processing speed of the device components, which currently is in the range of a few hundred gigahertz only. Researchers have now developed a technology that can process the data up to hundred times faster and thus close the gap between the transport and processing speeds.
Researchers using powerful supercomputers have found a way to generate microwaves with inexpensive silicon, a breakthrough that could dramatically cut costs and improve devices such as sensors in self-driving vehicles.
Scientists have developed a lab-based system for studying the most common type of liver disease, paving the way for research into new therapies. The team at the University of Edinburgh has devised a way to probe Non-Alcoholic Fatty Liver Disease, which affects up to one in three people, using cells in a dish.
A collaboration research team at the Toyohashi University of Technology and Massachusetts Institute of Technology has revealed the relationship between the strain in a magnetic insulator thin film and spin waves. The relationship between magnetoelastic anisotropy and propagation properties of forward volume spin waves in single-crystalline yttrium iron garnet films grown on three garnet substrates was experimentally demonstrated. This facilitates the design of spin wave integrated circuits.
Researchers have developed new technology for decoding neuromuscular signals to control powered, prosthetic wrists and hands. The work relies on computer models that closely mimic the behavior of the natural structures in the forearm, wrist and hand. The technology could also be used to develop new computer interface devices for applications such as gaming and computer-aided design.
An MIT study indicates eye movement can reveal the proficiency of people reading English as a second language.
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.