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Audience size and comments may affect enjoyment of social television

The presence of a large audience boosts enjoyment, but it takes just a few haters to ruin a TV show or movie, according to a study of social television, the practice of simultaneously watching television programs while seeing the social media...
5-Mar-2020 8:50 AM EST Add to Favorites

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Designing plastic to break down in the ocean is possible, but is it practical?

In a study, the researchers used a machine learning algorithm to classify more than 110 types of plastics, including commercial and lab-made varieties, to better understand how they might degrade in the ocean.
3-Mar-2020 8:30 AM EST Add to Favorites

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Computers scour satellite imagery to unveil Madagascar's mysteries

Scientists may be a step closer to solving some of anthropology’s biggest mysteries thanks to a machine learning algorithm that can scour through remote sensing data, such as satellite imagery, looking for signs of human settlements, according to...
20-Feb-2020 9:40 AM EST Add to Favorites

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Citizen scientists may be an untapped resource for water quality improvement

Raising awareness and offering technological tools to the thousands of citizens groups in the U.S. that monitor water quality might help community leaders tap these volunteers as a way to improve access to plentiful, clean water and possibly avoid...
11-Feb-2020 8:50 AM EST Add to Favorites

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All the feels: Feeling loved in everyday life linked with improved well-being

In two studies, the researchers found that people who experienced higher “felt love” — brief experiences of love and connection in everyday life — also had significantly higher levels of psychological well-being, which includes feelings of...
25-Nov-2019 11:50 AM EST Add to Favorites

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Researchers Identify Seven Types of Fake News, Aiding Better Detection

To help people spot fake news, or create technology that can automatically detect misleading content, scholars first need to know exactly what fake news is, according to a team of Penn State researchers. However, they add, that’s not as simple as...
14-Nov-2019 11:05 AM EST Add to Favorites

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Virus may jump species through rock-and-roll motion with receptors

The researchers used a sophisticated electron microscope that can take pictures of structures at the atomic level to examine the virus as it interacted with the transferrin receptor, or TfR, a protein on the surface of the cell that helps manage a...
23-Sep-2019 11:20 AM EDT Add to Favorites

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Clickbait Secrets Exposed! Humans and AI team up to improve clickbait detection

Humans and machines worked together to help train an artificial intelligence -- AI -- model that outperformed other clickbait detectors, according to researchers. In addition, the new AI-based solution was also able to tell the difference between...
22-Aug-2019 2:05 PM EDT Add to Favorites

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The Penn State Institute for Computational and Data Sciences is an interdisciplinary research institute that brings researchers together to develop and apply innovative, high performance computation methods. ICDS works with thousands of Penn State researchers and their collaborators on projects using artificial intelligence, machine learning, big data analysis, sophisticated modeling, complex simulations, and other research techniques that require high-performance computing. We operate Penn State's research supercomputer and also work to pair researchers from different fields to identify new solutions to pressing problems facing humanity.



Matt Swayne
Science Writer



Liam Jackson
Communications Manager