Software
Scientists use an array of imaging instruments to look inside living organisms, sometimes as they move, and to observe inert objects without altering their state. Such instruments include telescopes, microscopes, CT scanners ...
May 2, 2024
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22
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
Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.
Feb 21, 2024
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15
Computer Sciences
Researchers at the University of Trento, Italy, have developed a novel approach for prime factorization via quantum annealing, leveraging a compact modular encoding paradigm and enabling the factorization of large numbers ...
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 ...
Energy & Green Tech
A team of researchers from Xidian University in China has achieved a new result in the field of microwave power transmission. Their study, published in Engineering, introduces an optimal design method for antenna aperture ...
Jan 9, 2024
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4
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
The zinc smelting industry is facing new challenges in meeting China's carbon peak and carbon neutrality targets. To address these challenges, researchers from Central South University in China have developed a control method ...
Sep 29, 2023
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22
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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