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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33
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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78
Engineering
Important optimization algorithms that are designed to solve large-scale problems such as airline schedules and supply chain logistics may soon get a boost from 2D materials that will enable the algorithms to better solve ...
Jan 6, 2022
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145
Robotics
A paper published in the April 2022 issue of IEEE Robotics and Automation Letters outlines the AMBER team's method and represents the first instance of combining hybrid zero dynamics (HZD)—a mathematical framework for generating ...
Jun 7, 2022
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232
Electronics & Semiconductors
Combinatorial optimization problems are a class of hard computational problems that are commonly solved by computers for a variety of applications. Combinatorial optimization algorithms, for instance, allow economists to ...
Machine learning & AI
One of the principal drivers of efficient large language model (LLM) tasks is the prompt.
Energy & Green Tech
With its head-spinning size and connections, the power system is so complex that even supercomputers struggle to efficiently solve certain optimization problems. But quantum computers might fare better, and now researchers ...
Jul 18, 2023
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13
Computer Sciences
At some point in life, most people have stood over a rolled-out slab of cookie dough and pondered just how to best cut out cookies with as little waste as possible. Now, even math experts have given up on finding a computer ...
Dec 7, 2020
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505
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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16
Computer Sciences
Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths ...
