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.
December 19, 2019
Minjie Chen, an assistant professor of electrical engineering and the Andlinger Center for Energy and the Environment, and his team are building a family of devices to dramatically reduce power consumption at the gigantic data centers that serve as the backbone of internet services and cloud computing.
December 18, 2019
Princeton computer science professors Michael Freedman and Mona Singh have been named fellows of the Association for Computing Machinery in recognition of their significant contribution to computing and information technology. This year, the association named 58 new fellows from research centers, companies and universities around the world.
December 17, 2019
December 16, 2019
Princeton researchers have proposed using vintage electronics to verify nuclear disarmament.
December 06, 2019
December 04, 2019
Combining light and a protein linked to cancer, researchers at Princeton University have created a biological switch to conduct an unprecedented exploration of cellular development in the embryo.
November 25, 2019
The School of Engineering and Applied Science honored 16 graduate students for their performance "at the highest level as scholars and researchers."
November 22, 2019
The School of Engineering and Applied Science marked this year’s 50th anniversary of the first moon landings with a visit from Christine Darden, who shared highlights from her 40-year career at NASA with graduate students and community members.
November 21, 2019
Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across campus to accelerate discovery.