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The “Nursery of Rebellion" exhibit at Firestone Library has concluded. Exhibits at Mudd Library and the Princeton University Art Museum continue all summer, along with community events.
The sleepy colonial town of Princeton and The College of New Jersey — today’s Princeton University — both played an outsize role in our nation's founding. As the nation marks its semiquincentennial year, we take a look back.
Liu’s pathbreaking research aided the transition from analog to digital processing of sound, images and video. His Ph.D. students went on to become leading figures in academia and industry.
The program provides funding to early-career researchers “of outstanding promise.” Pew Scholars receive four years of funding “to explore cutting-edge research uncovering insights into human health and disease.”
With this gift, Princeton will become the ninth member of the Leinweber network for theoretical physics.
Chemical and biological engineering major David Frankel is exploring a potential solution to stubborn plastic waste, advised by Michele Sarazen.
Gabriel Duchovny, a midfielder on the Princeton men’s soccer team, has also tapped his facility with language to translate from Italian two scholarly papers about the strategic innovations of Tottenham Hotspur soccer coach Roberto De Zerbi.
Sophia Varughese has two passions: astrophysics and music. Her senior thesis is a scholarly look at black holes and relativity, advised by Neta Bahcall. Her other universe is jazz performance.
Andrew Ng has serious street cred in artificial intelligence. He pioneered the use of graphics processing units (GPUs) to train deep learning models in the late 2000s with his students at Stanford University, cofounded Google Brain in 2011, and then served for three years as chief scientist for Baidu, where he helped build the Chinese tech giant’s AI group. So when he says he has identified the next big shift in artificial intelligence, people listen. And that’s what he told IEEE Spectrum in an exclusive Q&A. Ng’s current efforts are focused on his company Landing AI, which built a platform ca...
The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process.Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version.But AI holds still more promise and potential for the semiconductor industr...
Quantum computing is a devilishly complex technology, with many technical hurdles impacting its development. Of these challenges two critical issues stand out: miniaturization and qubit quality.IBM has adopted the superconducting qubit road map of reaching a 1,121-qubit processor by 2023, leading to the expectation that 1,000 qubits with today’s qubit form factor is feasible. However, current approaches will require very large chips (50 millimeters on a side, or larger) at the scale of small wafers, or the use of chiplets on multichip modules. While this approach will work, the aim is to attai...
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