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Does space mining solve our resource problem?
Is Space Mining Our Future Gold Mine? This video explores the potential of asteroid mining for rare-earth metals and minerals critical for green technology, such as electric vehicles and renewable ...
Objective: This study aimed to assessing dissatisfaction with allocation of health care resources from the perspective of patients with different diseases that can help optimize resource allocation ...
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...
The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...
The EU's Commissioner for Space and Defense, warns of the bloc losing influence in space as it expresses ambition to mine the moon and asteroids for resources. Faltering energy security and unstable ...
CLEVELAND, Ohio (WOIO) - Cleveland city officials are finding new ways to keep track of problem areas in the city. They are using AI to capture real-time images with a program called City Detect. “It ...
1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...
Drought is a common and complex natural disaster. In the past 50 years, 34% of the people affected by natural disasters in the world have been affected by drought (World Meteorological Organization ...
Deputy Director, Healthy Brain and Mind Research Centre Program Lead, Neuroscience of Addiction and Mental Health Program, Australian Catholic University Wayne Hall has in the past five years been ...
Please provide your email address to receive an email when new articles are posted on . The risk for death/delisting has gone down with Composite Allocation Score implementation. This was also true in ...
Abstract: While deep learning (DL) has made notable progress in addressing complex radio access network control challenges, DL has shown limitations in solving constrained NP-hard problems often ...
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