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Artificial intelligence calculates suicide attempt risk

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IMAGE: Colin Walsh, MD, MA, assistant professor of Biomedical Informatics, Medicine and Psychiatry, Vanderbilt University Medical Center.
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Credit: Vanderbilt University Medical Center
A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.
Over the 11 consecutive months concluding in April 2020, predictions ran silently in the background as adult patients were seen at VUMC. The algorithm, dubbed the Vanderbilt Suicide Attempt and Ideation Likelihood (VSAIL) model, uses routine information from electronic health records (EHRs) to calculate 30-day risk of return visits for suicide attempt, and, by extension, suicidal ideation. ....

United States , Katelyn Robinson , Laurie Novak , Elliot Fielstein , Kevin Johnson , William Stead , Colin Walsh , Joyce Harris , Nathaniel Clark , Michael Ripperger , Sarah Sperry , Florida State University , Vanderbilt University Medical Center , Evelyn Selby Stead Fund For Innovation , National Institutes Of Health , Vanderbilt University Medical , Vanderbilt Suicide Attempt , Ideation Likelihood , Medical Center , Biomedical Informatics , National Institutes , Evelyn Selby Stead Fund , Medicine Health , Death Dying , Public Health , Mental Health ,

Cutting-edge scale-out technology from Toshiba will take Fintech and Logistics to new level

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IMAGE: (a) Scale-out approach: improve computing performance by increasing the numbers of computing chips; (b) All-to-all connection type combinatorial optimization problems: all variables interact with each other.
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Credit: Toshiba Corporation
TOKYO - Toshiba Corporation (TOKYO: 6502), the industry leader in solutions for large-scale optimization problems, today announced a scale-out technology that minimizes hardware limitations, an evolution of its optimization computer, the Simulation Bifurcation Machine (SBM), that supports continued increases in computing speed and scale. Toshiba expects the new SBM to be a game changer for real-world problems that require large-scale, high-speed and low-latency, such as simultaneous financial transactions involving large numbers of stock, and complex control of multiple robots. The research results were published in ....

Kosuke Tatsumura , Toshiba Corporation , Nature Electronics , Simulation Bifurcation Machine , Chief Research Scientist , Corporate Research , Development Center , Scaling Out Ising , Science Advances , Field Programmable Logic , Complex Problems , Mathematics Statistics , Algorithms Models , Calculations Problem Solving , Systems Chaos Pattern Formation Complexity , Technology Engineering Computer Science , Computer Science , Electrical Engineering Electronics , Research Development , தோஷிபா நிறுவனம் , இயற்கை மின்னணுவியல் , தலைமை ஆராய்ச்சி விஞ்ஞானி , பெருநிறுவன ஆராய்ச்சி , வளர்ச்சி மையம் , அளவிடுதல் ஔட் நான் பாடுகிறேன் , சிக்கலான ப்ராப்லம்ஸ் ,

Kan and Marzougui receive funding for roadside safety research and outdoor laboratory support

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Cing-Dao Kan, Professor/Director, Center for Collision Safety and Analysis (CCSA), and Dhafer Marzougui, Associate Professor, Physics and Astronomy, received $575,316 from the U.S. Department of Transportation for the project: DOT IDIQ Roadside Safety Research and Federal Outdoor Impact Laboratory (FOIL) Technical Support Services. In this program, the research team at CCSA will conduct modeling and simulation analyses and conduct vehicle crash impact tests for highway safety research.
Funding for this project began in March 2021 and will end in late February 2024. This is first portion of funding of this multiyear effort.
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About George Mason University
George Mason University is Virginia s largest public research university. Located near Washington, D.C., Mason enrolls 38,000 students from 130 countries and all 50 states. Mason has grown rapidly over the last half-century and is recognized for its innovation and entrepreneurship, remarkable dive ....

Dao Kan , Dhafer Marzougui , Roadside Safety Research , Outdoor Impact Laboratory , Us Department Of Transportation , Technical Support Services , Cing Dao Kan , Collision Safety , Associate Professor , Safety Research , Federal Outdoor Impact Laboratory , Chemistry Physics Materials Sciences , Technology Engineering Computer Science , Mechanical Engineering , டாவோ கான் , சாலையோரம் பாதுகாப்பு ஆராய்ச்சி , ஔட்‌டோர் தாக்கம் ஆய்வகம் , எங்களுக்கு துறை ஆஃப் போக்குவரத்து , தொழில்நுட்ப ஆதரவு சேவைகள் , சிங் டாவோ கான் , மோதல் பாதுகாப்பு , இணை ப்ரொஃபெஸர் , பாதுகாப்பு ஆராய்ச்சி , கூட்டாட்சியின் ஔட்‌டோர் தாக்கம் ஆய்வகம் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Computing clean water

Researchers computational methods pave the way for next-generation membrane technology for water purification ....

United States , Jacob Monroe , Santa Barbara , Johne Myers , Energy Frontier Research Center , Lawrence Berkeley National Laboratory , Us Department Of Energy , University Of Texas At Austin , National Institute Of Standards , Proceedings Of The National Academy Sciences , Energy Systems , National Academy , National Institute , Lawrence Berkeley National , Chemistry Physics Materials Sciences , Atomic Molecular Particle Physics , Polymer Chemistry , Technology Engineering Computer Science , Industrial Engineering Chemistry , Nanotechnology Micromachines , ஒன்றுபட்டது மாநிலங்களில் , ஜாகோப் மன்ரோ , சாந்தா பார்பரா , ஜான் மைஸ் , ஆற்றல் எல்லை ஆராய்ச்சி மையம் , லாரன்ஸ் பெர்க்லி தேசிய ஆய்வகம் ,

New machine learning model could remove bias from social network connections

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UNIVERSITY PARK, Pa. Did you ever wonder how social networking applications like Facebook and LinkedIn make recommendations on the people you should friend or pages you should follow?
Behind the scenes are machine learning models that classify nodes based on the data they contain about users for example, their level of education, location or political affiliation. The models then use these classifications to recommend people and pages to each user. But there is significant bias in the recommendations made by these models known as graph neural networks (GNNs) as they rely on user features that are highly related to sensitive attributes such as gender or skin color. ....

Enyan Dai , Suhang Wang , International Conference On Web Search , Penn State College Of Information Sciences , National Science Foundation , Global Research Outreach , Samsung Advanced Institute Of Technology , Penn State College , Information Sciences , Web Search , Data Mining , Samsung Advanced Institute , Technology Engineering Computer Science , சர்வதேச மாநாடு ஆன் வலை தேடல் , பென் நிலை கல்லூரி ஆஃப் தகவல் அறிவியல் , தேசிய அறிவியல் அடித்தளம் , உலகளாவிய ஆராய்ச்சி ஔட்‌ரீச் , பென் நிலை கல்லூரி , தகவல் அறிவியல் , வலை தேடல் , தகவல்கள் சுரங்க , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,