Recycling more precious metals from nuclear and electronic waste using the Picasso pigment, Prussian blue
Peer-Reviewed Publication
Study shows the way forward in recovering precious metals from E-waste, a growing issue in our technology-rich society.
In a recent study, Herman found that in the midst of traumatic societal events – such as a neighborhood shooting – positive classroom behavior management interventions may not have the desired outcomes for certain individuals who could be struggling with trauma or depression associated with such an event.
New study from Columbia Engineering computer scientists supports the Census Bureau’s switch to differential privacy as a de-identification mechanism for the 2020 Census. The researchers demonstrate that differential privacy is more effective than the old method of swapping, and better protects the privacy of minorities.
A consortium led by international scientists from the non-profit, open-science COVID Moonshot has been awarded an initial $68,662,387 from the US National Institutes of Health (NIH) to discover and develop globally accessible and affordable novel oral antivirals to combat COVID-19 and future pandemics.
Top scientists and officials from government, academia, Alaskan Native communities, and industry are heading to Alaska to focus on driving energy technologies for a more sustainable Arctic region.
Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no impact. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time. Effective? Yes. Efficient? Not so much. Rick Blum, the Robert W. Wieseman Professor of Electrical and Computer Engineering at Lehigh University, seeks to bring efficiency to distributed learning techniques emerging as crucial to modern artificial intelligence (AI) and machine learning (ML). In essence, his goal is to hurl far fewer grains of data without degrading the overall impact.
AWS joins Q-NEXT as an institutional partner. Q-NEXT is a DOE National QIS Research Center led by Argonne.