The finalists for the 2026 Franz Edelman Award innovate in supply-chain replenishment, food distribution, cloud fulfillment and carbon-aware high-performance computing.
Spending lots of scrolling through social media videos is a habit that many people often fall into. While it can be entertaining, mental health experts say it also can be harmful.
In journal Information System Research, researchers posted a model they created that uses AI to detect which videos can affect mental health, or even spark suicidal thoughts.
Zachary Collier, Assistant Professor of Management at Radford University, joins Shaye Ganam to talk about EVs in Canada and the inherent cybersecurity risk in operating them.
An audio journey of how data and analytics save lives, save money and solve problems.
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A new study in the INFORMS journal Operations Research on the conflict in Syria using existing attrition models, found that certain factors were lacking, leading to the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
Three researchers have conducted a study of war, specifically the current conflict in Syria that's been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel. The research, published in the August edition of the INFORMS journal Operations Research, is titled "The Attrition Dynamics of Multilateral War."
CATONSVILLE, MD, September 12, 2018 – New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content.
CATONSVILLE, MD, September 10, 2018 – Three researchers have conducted a study of war, specifically the current conflict in Syria that’s been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
A patient goes into the emergency room for a broken toe, is given a series of standardized tests, has their data fed into an algorithm, and—though they haven’t mentioned feeling depressed or having any suicidal thoughts—the machine identifies them as at high risk of suicide in the next week. Though the patient didn’t ask for help, medical professionals must now broach the subject of suicide and find some way of intervening. This scenario, where an actionable diagnosis comes not from a doctor’s evaluation or family member’s concern, but an algorithm, is an imminent reality.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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