Big library, big data
“Libraries have been managing data for centuries,” says Marcy Strong, head of metadata service at River Campus Libraries. And in the new field of data science, practitioners will rely on work University librarians have long done.
Unlocking the secrets of blue notes
In the musical realm, notes “between the cracks” of conventional pitches are called blue notes. Researchers at Rochester are using advanced tools of music technology to unlock the secrets of blue notes.
Student work earns national praise in data science competition
A computer model to help clinicians predict Parkinson’s disease progression has landed two Rochester undergraduates and their faculty mentor a top honor from the Michael J. Fox Foundation.
On the hunt for asteroids to avoid ‘near miss’ with Earth
In 2013, a group of Rochester and NASA scientists proposed the NEOCam, or “Near-Earth Object Camera,” based on an infrared detector developed here in Rochester. This year, NASA announced extended funding for the program.
Skin sensors provide wealth of patient data
In one current clinical trial, biosensors worn by patients with Parkinson’s and Huntington’s disease generate 25 million measurements over a two-day period.
Imaging at the speed of light
Chunlei Guo and his team have used lasers to make materials extremely water repellent. Now the researchers can visualize, for the first time, the complete evolution of micro- and nanoscale structural formation on the material’s surface.
Machine learning advances human-computer interaction
Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.
Visiting students apply computational tools to music, mind
Can a computer learn to read an ancient musical score? Or teach a person to become a better public speaker? Visiting undergraduates–many from under-represented groups in the STEM fields–will work on summer projects investigating these questions and more.
The mysteries of music—and the key of data
Researchers at the University are at the cutting edge of the intersection of data science and music: developing databases to study music history, and creating algorithms to automatically identify a genre or singer.
Study identifies key factor in DNA damage associated with aging
There are many examples of DNA damage being associated with aging, but never has a reduction in DNA damage been shown to extend lifespan. Rochester research has made this connection, and identified an enzyme that can be targeted to reduce that damage.