Using a brain-computer interface, a clinical trial participant who lost the ability to speak was able to create text on a computer at rates that approach the speed of regular speech just by thinking of saying the words.
A team of Brown-led engineers show that a sphere held almost completely under flowing water induces drag forces several times greater than if it were fully submerged, detailing new and interesting physics of drag resistance.
Developed by a team of Brown-led researchers, Pleobot is a krill-inspired robot offering potential solutions for underwater locomotion and ocean exploration, both on Earth and moons throughout the solar system.
Two teams from Brown were among 28 selected this year through DEPSCoR, which is designed to strengthen basic research infrastructure at higher education institutions and propel forward science in areas important to U.S. defense.
A team of Brown University researchers created a solution to a nanoscale resolution challenge that has for decades limited the study of materials that could lead to more energy efficient semiconductors and electronics.
The newly launched Initiative for Sustainable Energy will serve as a campus hub for driving technological advances in sustainable energy and preparing the next-generation of leaders in net-zero-carbon energy solutions.
SBUDNIC, built by an academically diverse team of students using off-the-shelf parts, was confirmed to have successfully operated in orbit, demonstrating a practical, low-cost method to cut down on space debris.
The work by a research team made up largely of Brown graduate and undergraduate students addresses a critical biomedical need and has the potential to be widely adapted by clinicians to monitor antidepressants in patients.
In an important step toward a medical technology that could help restore independence of people with paralysis, researchers find the investigational BrainGate neural interface system has low rates of associated adverse events.
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
The lab of George Karniadakis, professor of applied mathematics and engineering, leads the charge of developing physics-informed neural networks to diagnose and predict the severity of arterial aneurysms.
A new study associated with the BrainGate consortium offered significant clues about how humans learn and form long-term memories; the findings could provide insights for developers of assistive tools for people with paralysis.
A new material developed at Brown University can respond to the presence of bacterial enzymes by releasing a cargo of therapeutic nanoparticles, which could prove particularly helpful in wound dressings.
With a massive shift under way toward more home-based health care delivery, more than 90 medical professionals and technologists gathered virtually to explore the challenges and opportunities that change presents.
With the help of an advanced machine learning technique, researchers from Brown University suggest strategies for improving the performance of epidemiological models used to predict the course of pandemics.
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.
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.