It's nearly time for Canal Convergence, Scottsdale Arts' 14th annual free public art show that runs for 10 days at the Scottsdale waterfront. For 2025, the theme is "SHOWTIME" and guests will be able ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
The modern internet is ruled by algorithms. When you boot up Instagram, for example, what you see in your feed is strategically sorted by the app's AI based on your past activity to keep you engaged ...
Abstract: Traditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal ...
During a major crisis, the transitional dynamics of conditional convergence are unlikely to apply. In this paper, we introduce a Markov chain approach which integrates the study of crises and ...
(a) Geological units and earthquake distribution of an oceanic subduction zone. The orange shadow beneath the volcanic arc represents partially molten areas and magma channels. (b) Thermal structure ...
Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The hottest technology today and the emerging most-promising ...
ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
FORT IRWIN, Calif. (March 11, 2025) – The Army’s Next Generation Command and Control effort is reaching a critical milestone at Project Convergence Capstone 5, where commanders and Soldiers are ...
FORT IRWIN, Calif. — Project Convergence Capstone 5 (PC-C5), the latest iteration of the U.S. Army's premier modernization experiment, is set to take place in March and April 2025. This ambitious ...
Abstract: This paper considers the identification problem of linear regression model with quantized observations. We propose a modified stochastic gradient algorithm to estimate unknown parameters ...
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