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By Julie McWilliams Aspiring journalist Brennan Cusack set off on a solo cross-country trek last summer to get an insider’s look and to research four instances where environmental and economic interests were at odds.
by Sarah Welsh After a two-year hiatus, the Large Hadron Collider at the European Organization for Nuclear Research, or CERN, is gearing up for its second run. The LHC enabled the 2012 discovery of the Higgs boson, which gives mass to all particles, but the world’s most complicated scientific apparatus is far from finished
WHO: Randall Kamien Shu Yang XingTing Gong Daniel Sussman
Why do some people learn a new skill right away, while others only gradually improve? Whatever else may be different about their lives, something must be happening in their brains that captures this variation.
Penn's health schools are celebrating National Public Health Week by featuring stories that highlight public health efforts across the University. Follow along on Twitter at #PennOneHealth. ***
Therapeutic agents intended to reduce dental plaque and prevent tooth decay are often removed by saliva and the act of swallowing before they can take effect. But a team of researchers has developed a way to keep the drugs from being washed away.
Where water and oil meet, a two-dimensional world exists. This interface presents a potentially useful set of properties for chemists and engineers, but getting anything more complex than a soap molecule to stay there and behave predictably remains a challenge.
By Julie McWilliams
Oil-based liquid crystals are ubiquitous; a deep understanding of their properties is behind the displays found in most computer monitors, televisions and smartphones. Water-based liquid crystals are less well understood, though their biocompatibility makes them a potential candidate for a variety of biological and medical applications.
By Madeleine Stone @themadstoneNone of us would be alive if sperm cells didn’t know how to swim, or if the cilia in our lungs couldn’t prevent fluid buildup. But we know very little about the dynamics of so-called “living fluids,” those containing cells, microorganisms or other biological structures.
Chris Callison-Burch of the School of Engineering and Applied Science discusses Penn’s new online master’s program in artificial intelligence.
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The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.
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The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.
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César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine says that Neanderthal DNA provides insights into human evolution, population dynamics, and genetic adaptations, including correlations with traits such as immunity and susceptibility to diseases.
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A research team led by Michael Mann of the School of Arts & Sciences is predicting the upcoming Atlantic hurricane season will produce the most named storms on record, fueled by exceptionally warm ocean waters and an expected shift from El Niño to La Niña.
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The “My Climate Story” project at the Environmental Humanities Department helps students and teachers learn about climate change’s impact in everyday backyards, with remarks from Bethany Wiggin. The idea is credited to María Villarreal, a College of Arts and Sciences second-year from Tampico, Mexico.
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Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.
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Michael Mann of the School of Arts & Sciences explains how three low-pressure systems formed a train of storms that battered the United Arab Emirates.
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Michael Mann of the School of Arts & Sciences says that many people blaming cloud seeding for Dubai storms are climate change deniers trying to divert attention from what’s really happening.
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Chris Callison-Burch of the School of Engineering and Applied Science says that auto-regressive generation can make it difficult for language learning models to perform fact-based or symbolic reasoning.
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