Machine Learning: Science and Technology
@MLSTjournal
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A multidisciplinary, #openaccess journal devoted to the application and development of #machinelearning for the sciences. Published by @IOPPublishing.
Bristol, UK
Joined October 2019
We are now on Bluesky!. Follow our account @iopp-mlresearch.bsky.social on Bluesky for more #MachineLearning and #AI research
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From Thursday, 5 June, X will no longer be our primary platform for sharing news. We would love to connect with you on:. 🦋 Bluesky - LinkedIn - Facebook - Threads -
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RT @barak_hirshberg: Our paper is now out in @MLSTjournal, the BEST place for stat mech for ML!. Response theory of first passage processes….
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RT @MarioKrenn6240: My video interview with @QuantaMagazine about AI-designed physics experiments, AI as a Muse for new ideas in Science, a….
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RT @MarioKrenn6240: We show how to estimate the impact of research ideas before they were even born -- just published in @MLSTjournal. [pap….
github.com
Forecasting high-impact research topics via machine learning on evolving knowledge graphs - artificial-scientist-lab/Impact4Cast
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RT @Vertaix_: Our LLM4Mat-Bench paper is now published @MLSTjournal ✨ Test your favorite LLM on the benchmark to predict material propertie….
github.com
Code and data used to create and evaluate LLM4Mat-Bench - vertaix/LLM4Mat-Bench
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Congratulations to all recipients of our Outstanding Reviewer Awards! 🎉Your commitment, timeliness, quality, & quantity of reports is celebrated across our journals. Let's celebrate all #PeerReview contributions that uphold #ResearchIntegrity.Discover 👉
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RT @ox_ultracold: 📜Our new paper on detecting quantum vortices with Convolutional Neural Networks has been published in @MLSTjournal!. ✅The….
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Physics and AI: A powerful duo expanding our understanding of the Universe!.Join our workshop at AI UK 2025, The Alan Turing Institute, to explore how physics can tackle AI's biggest challenges. In-person delegate booking opens 10am on March 12th: #Turing.
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RT @nikstergioulas: Paper alert! "New gravitational wave discoveries enabled by machine learning", A. Koloniari, E. Koursoumpa, P. Nousi, P….
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✨Become an IOP Peer Review Excellence graduate this month! With more than 4,300 researchers already signed up to our free and rigorously assessed online course, come and take a look today - #EarlyCareerResearcher #PhysicalScience #PeerReview
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RT @Atul_Ag07: New paper alert. "Stochastic black-box optimization using multifidelity score function estimator," published in @MLSTjournal….
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👋 Are you an #EarlyCareerResearcher looking to gain #PeerReview experience, or an experienced supervisor eager to support the next generation? We've got you covered! Find out more 👇.
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RT @QuantMol: Our new research article on "Characterizing out-of-distribution generalization of neural networks: application to the disorde….
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RT @KyleCranmer: I’m pretty excited about our new paper, which is a follow up to our last paper using AI to help solve a problem in theoret….
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RT @IOPPublishing: AI predicts that most of the world will warm much faster than previously predicted, according to a new study published t….
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🦾Discover what our new journal 'Machine Learning: Engineering' contributes to the #MachineLearning and #AI landscape! Our Editor-in-Chief shares key insights about our exciting new journal which is now open for submissions!
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Read the full article in @MLSTjournal at
Quantum multitasking? When a quantum computer processes data, it must translate it into understandable quantum data. A team led by @Tohoku_Univ has created an #algorithm capable of optimizing multiple targets at once in quantum compilation. @MLSTjournal #computing #technology.
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