A new infectious disease model that accounts for people’s ‘level of caution’ or ‘sense of safety’ accurately captures surges and declines in COVID-19 cases since March 2020 — and could help predict how the pandemic will eventually end.
Using a brain-computer interface, a clinical trial participant was able to create text on a computer at a rate of 90 characters per minute just by thinking about the movements involved in writing by hand.
In a study that could help to bring inexpensive, efficient perovskite solar cells one step closer to commercial use, researchers found a way to strengthen a key weak point in the cells, dramatically increasing their functional life.
In an important step toward a fully implantable intracortical brain-computer interface system, BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
A new study shows that an artificial intelligence system informed with the physical laws governing flowing fluids can infer pressures and stresses on capillaries just by analyzing images or videos of blood flow.
If the name seems familiar, it’s likely because Dr. Selim Suner has been frequently sought by newspapers and television stations in Rhode Island for his expertise on how local hospitals are handling the COVID-19 crisis.
As an employee of General Motors, Yue Qi was involved early with the Collaborative Research Laboratory partnership established between GM and Brown University. Continuing these collaborations with Brown colleagues as her career progressed from industry to academia, Qi’s return to campus in July as the newest engineering faculty member was eased by the familial feelings she already had for Brown Engineering.
A new study uses computer simulations to track airflows inside a car’s passenger cabin, providing potential strategies — some of them counterintuitive — for reducing the risk of transmitting airborne diseases.
As researchers explore faster data transfer rates in the terahertz range, new strategies for thwarting eavesdropping attempts by utilizing atmospheric effects were investigated by Malachi Hornbuckle ‘22, funded in part by a Nielsen summer fellowship.
Energy storage technology interests led mechanical engineer Elizabeth Healy ’21 to the Sheldon Lab. A DiMase Family Internship allowed her to develop those interests in an academic research setting, pushing the boundaries on next generation lithium-ion batteries.
Jayakumar Fellowship allows Andrew Duncombe ’21 to design computer architectures that make the implementation of complex computing processes, like neural networks, feasible for real-world applications.