Team from MIT and Brown demonstrates the accuracy and safety of using magnetic sensors to track muscle length during movement, which could make it easier for people with amputations to control prosthetic limbs.
Suresh Venkatasubramanian served as a White House advisor for the nation’s first “Blueprint for an AI Bill of Rights,” helping to develop a guide to ethical practices in an era of data-driven technologies.
The federal government selected four algorithms to serve as standards for public key security in the pending era of quantum computers, three of which are based on technology devised by a team of Brown experts.
A team led by a Brown biologist discovered that the same specialized brain area that helps songbirds learn their songs also exists in woodpeckers, suggesting that the communicative drumming evolved in a similar way.
A research team including Brown University faculty and students created a superconducting diode without a magnetic field in multi-layer graphene, a development that could form the basis for future “lossless” electronics.
The study is an example of how brain imaging technology — in this case developed by researchers at Brown University — can be adapted to advance knowledge of brain processes and prompt new questions about behavior.
As a summer intern at the Nuclear Threat Initiative in Washington, D.C., the rising Brown junior is combining his love for science with a driving interest to ensure that policy decisions on complex issues are evidence-backed.
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.
From conducting fluid dynamics experiments in a home lab to spearheading a statewide COVID-19 relief plan, Brown undergraduate students pursued, developed and adapted research projects despite challenges posed by the pandemic.
The long search for dark matter, estimated to comprise 85% of all mass in the universe, took a major step forward with the underground LUX-ZEPLIN experiment in South Dakota now delivering initial results.
Kavita Ramanan, Richard Schwartz and Joseph Silverman landed the opportunity, considered a career pinnacle for many, to present at next week’s prestigious ICM conference, an event held once every four years.
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.
By merging themes in dance and computer science, the course Choreorobotics 0101 is teaching the next generation of engineers how to create technology that minimizes harm and makes a positive impact on society.
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.
An active voice for women in physics, Brown graduate student Farrah Simpson will conduct research related to the Large Hadron Collider, the world’s most powerful particle accelerator, as a 2022 Graduate Scholar at Fermilab.
After witnessing challenges faced by childhood friends, Glenn is researching the neurobiological underpinnings of alcohol and substance abuse disorders with the goal of enabling more effective treatments.
A tunable, atomically thin materials platform may help researchers figure out how to create a robust quantum condensate that can flow without dissipation of energy — potentially paving the way for ultra-efficient lossless electronic devices.
A new study reveals how the diminutive Moon could have been an occasional magnetic powerhouse early in its history, a question that has confounded researchers since NASA’s Apollo program began returning lunar samples in 1969.
Tejal Desai, a professor and researcher who has led academic programs at the University of California San Francisco, Boston University and elsewhere, will work to expand collaborative engineering research and teaching.
A new discovery could help scientists to understand “strange metals,” a class of materials that are related to high-temperature superconductors and share fundamental quantum attributes with black holes.
Magnets and superconductors don’t normally get along, but a new study shows that ‘magic-angle’ graphene is capable of producing both superconductivity and ferromagnetism, which could be useful in quantum computing.
Through DEEPS STEP, Brown postdocs, undergraduate and graduate students develop and teach a science curriculum, complete with engaging, hands-on activities, to elementary students in the Providence Public School District.
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.
By observing how strange particles called anyons dissipate heat, researchers have shown that they can probe the properties of these particles in systems that could be relevant for topological quantum computing.