February 10, 2020
S. Matthew Weinberg, an assistant professor of computer science, is a recipient of a 2020 Sloan Research Fellowship, one of the most prestigious and competitive early career awards for research.
February 05, 2020
Rodney Priestley is Princeton’s first vice dean for innovation, a newly created role within the Office of the Dean for Research to provide academic leadership for innovation and entrepreneurship activities across campus.
February 05, 2020
Using sophisticated algorithms to explore regions of the genome whose roles in cancer have been largely uncharted, an international team including Princeton researchers has opened the door to a new understanding of the disease’s genetic origins.
January 21, 2020
Hidden beneath our everyday world — on the infinitesimal scale of atomic and subatomic particles — is a strange and elusive realm. It is a Lewis Carroll-like place where ghostly particles pop in and out of existence, swirling electrons occupy two positions at once, and objects possess dual natures — they can be both waves and particles simultaneously.
January 14, 2020
Naveen Verma, professor of electrical engineering, has been appointed director of Princeton University’s Keller Center for Innovation in Engineering Education, a center focused on enabling students across the University to realize their aspirations for addressing societal problems. His appointment is effective Feb. 1.
January 02, 2020
Irvin Glassman, a leading authority on combustion and propulsion who served on the Princeton faculty for 49 years, died Dec. 14, 2019, at his home in Princeton. He was 96.
December 23, 2019
Princeton researchers have uncovered new rules governing how objects absorb and emit light, fine-tuning scientists' control over light and boosting research into next-generation solar and optical devices.
December 20, 2019
This year, the mechanical and aerospace engineering department's thermodynamics class became a Campus as Lab course, featuring field trips, guest lectures and lessons that enhanced students’ learning with examples of energy technology and policy from the University campus and surroundings.
December 19, 2019
In a pair of papers published earlier this year, researchers showed how to start with a simple design for an AI network, grow the network by adding artificial neurons and connections, then prune away unused portions leaving a lean but highly effective final product. Growing and pruning results in software that requires a fraction of the computational power, and so uses far less energy, to make equally good predictions about the world. Constraining energy use is critical in getting this kind of advanced AI — called machine learning — onto small devices like phones and watches.