Internet
Google made major changes to its search algorithm and spam filters earlier this year to get rid of low-quality content—but the effects have proved devastating to some smaller websites.
Jul 2, 2024
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Machine learning & AI
Optimization algorithms are pivotal in machine learning and artificial intelligence (AI) in general. For a long time, it has been widely believed that the design/configuration of optimization algorithms is a task that heavily ...
May 15, 2024
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Telecom
Professor Jeongho Kwak's from the Department of Electrical Engineering and Computer Science at DGIST has developed a learning model and resource optimization technology that combines accuracy and efficiency for 6G vision ...
Mar 30, 2024
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Engineering
Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal ...
Mar 25, 2024
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Computer Sciences
Researchers from University of Tsukuba have presented counterexamples to assumed key properties of Asynchronous Distributed OPTimization (ADOPT) and its successor algorithms. ADOPT is a well-known algorithm for solving distributed ...
Mar 5, 2024
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Computer Sciences
While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, the optimization problem of efficiently routing holiday packages is so complicated that they often ...
Dec 5, 2023
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Computer Sciences
The term 'Expensive optimization problem' (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.
Aug 10, 2023
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Business
When real-world disasters occur, logistics play a crucial role in emergency disaster management. Emergency material scheduling is a vital piece of the emergency logistics plan. Having a reasonable and efficient emergency ...
Jun 29, 2023
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Software
Traffic engineering has attracted much research attention, especially in recent years as networks grow in size and complexity. Network operators increasingly need better ways to manage the massive amounts of data flowing ...
Dec 5, 2022
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Robotics
In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.
Jun 29, 2022
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