BALTIMORE, MD, January 17, 2025 – INFORMS, the world’s largest association for professionals and students in operations research (O.R.), AI, analytics and data science, has unveiled six finalists for the prestigious 2025 Franz Edelman Award for achievement in advanced analytics, operations research and management science. Recognized as the pinnacle of achievement in the application of analytics and operations research, the award, often referred to as “The Nobel Prize” of O.R. and advanced analytics, celebrates groundbreaking research and innovations that are transforming industries, improving lives and shaping a smarter, more sustainable future.
Cutting-edge chips, especially those designed to power emerging AI applications, tend to receive the most attention in the media and generate the most excitement. However, so-called “legacy” chips are just as important — if not more — to our daily lives.
January is National Blood Donor Month and, not coincidentally, a time when donations tend to ebb. Every two seconds, someone in the U.S. needs blood for serious injuries, childbirth, cancer treatments and more, according to the Department of Health and Human Services.
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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.
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