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Even weak ocean models can provide valuable information for environmental forecasts, study ...
Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
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In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use ...
Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.
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Dogs vs statins: A randomized controlled trial
A thought experiment in prevention: What if dogs do more for cardiovascular health than statins? Let’s examine the data, ...
Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...
You haven’t overspent. You haven’t done anything suspicious. But somewhere inside your bank’s computer systems, a machine ...
Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...
A consensus algorithm is the rule a distributed network follows to agree on which new block is added to a blockchain, so every honest node ends up with the same ledger without trusting any single ...
The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...
Abstract: This paper proposes a randomized algorithm for feasibility of uncertain LMIs. The algorithm is based on the solution of a sequence of semidefinite optimization problems involving a reduced ...
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