algorithm

Q-CTRL and Classiq Partner to Improve Quantum Algorithm Development

Q-CTRL and Classiq Partner to Improve Quantum Algorithm Development

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New Software Integration Helps Developers Build Faster, More Efficient Quantum Algorithms SYDNEY, Australia, Nov. 22, 2022 /EINPresswire.com/ — Q-CTRL, a global leader in quantum control infrastructure software, and Classiq, the leader in quantum algorithm development software, today announced a partnership to provide an end-to-end platform for designing, executing and analyzing quantum algorithms. The new partnership …

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Caltech astronomers have used a machine learning algorithm to classify 1,000 supernovae completely autonomously

Caltech astronomers have used a machine learning algorithm to classify 1,000 supernovae completely autonomously

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Caltech research presents “SNIascore”, a spectroscopic classification method of thermonuclear supernovae (SNe Ia) based on very low resolution (R 100) data based on deep learning. The goal of SNIascore is to fully automate the classification of SNe Ia with a very low false positive rate (FPR) so people don’t have to do as much work. …

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Chung-Ang University researchers develop an algorithm for optimal decision-making with heavy-tailed noisy rewards - insideBIGDATA

Chung-Ang University researchers develop an algorithm for optimal decision-making with heavy-tailed noisy rewards – insideBIGDATA

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Researchers propose methods that theoretically guarantee minimal loss for worst-case scenarios with minimal prior information for heavy-tailed reward distributions Exploration algorithms for stochastic multi-armed bandits (MAB) – sequential decision-making problems in uncertain environments – generally assume light-tailed distributions for reward noises. However, real-world datasets often display heavy-tailed noise. In light of this, Korean researchers propose …

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Powerful rare-earth-free magnet "evolved" and refined by a machine learning algorithm

Powerful rare-earth-free magnet “evolved” and refined by a machine learning algorithm

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A rare-earth-free magnetic material with properties similar to rare-earth magnets found in everything from wind turbines to computer hard drives has been discovered by US researchers using a machine learning-guided approach. The material requires further development, but the demonstration is an important step on the way to creating powerful magnets that do not rely on …

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Researchers at South Korea

Researchers from South Korea’s Chung-Ang University are developing a ‘meta-reinforcement’ machine learning algorithm for traffic lights to improve vehicle throughput

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Author: Eric Walz No matter how advanced modern vehicles become, including those capable of self-driving, being stuck in heavy city traffic is unlikely to go away anytime soon using traditional headlight technology. traffic to control the flow of vehicles. But recent advances in artificial intelligence (AI) and machine learning have shown promise in optimizing traffic …

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