Make sure your manuscript stands out for success with a Rapid Techinical Review. Provided by Editage, get a detailed report in 5 days, including: 🔍 Structure improvement 🔍 Expert inputs 🔍 Clear results 🔍 Figure consistency Learn more here: ow.ly/uFQv50X08oB

Can Transformers help us perform parameter estimation of overlapping signals in #GravitationalWaveDetectors? Find out here: ow.ly/IrYY50WZjqr Lucia Papalini, Federico De Santi, Massimiliano Razzano, Ik Siong Heng & Elena Cuoco @btbsunimib.bsky.social @uofglasgow.bsky.social @elenacuoco.bsky.social

Read the latest work on a novel, computationally efficient training framework with bio-signal processing on edge medical devices: ow.ly/L1bX50WYFEp By Zhaojing Huang et al. (@sydney.edu.au) #EdgeAI #TinyML #BioSignalProcessing #MedicalAI #OpenAccess #ModelOptimization

✨Develop your #PeerReview competency with our free online course. 📚 Discover comprehensive modules, including peer review fundamentals, paper mills, authorship misconduct, ChatGPT and more... 💡https://ow.ly/HNen50WzWPY

🎉 A huge thank you to everyone who took part in our survey “Peer review in the era of AI”. As part of #PeerReviewWeek2025, we’re delighted to share insights gathered from your contributions. 👉 Read the full report: ioppublishing.org/news/reviewe... #PeerReview #AIinResearch #ResearchIntegrity

Register for online or in-person! IOP's hybrid event: Physics-Enhanced #MachineLearning. Registration is free for IOP Members and Student Members! 📝Find out how to register here: iop.eventsair.com/peml2025/reg... 📑Read more information here: iop.eventsair.com/peml2025/pro...

Register for IOP’s hybrid multi-workshop event. ⏱️Deadline to register in person attendance is 15th September Covering Physics-Enhanced Machine Learning in: 🧰Mechanics and Materials 💻Computational Physics and Applications 🌨️Climate and Space Register here: iop.eventsair.com/peml2025/reg...

Measuring river surface velocity is essential for estimating river discharge. This study uses a neural operator (NO)-based model, RivNO, to accurately reconstruct missing surface velocities. Read here: ow.ly/wNwG50WVBkg From Xueqin Chen, Hessel Winsemius & Riccardo Taormina #EnvironmentalMonitoring

In preparation for tomorrow, catch up on last year's results published in #MachineLearningScienceandTechnology (@iopp-mlresearch.bsky.social), bit.ly/4nuQu6h. Good luck to all the participants and congratulations to @benblaiszik.bsky.social for organizing this incredible event #machinelearning

Over 1100 people around the world, virtual and in-person, decided to take a chance together, to imagine, and build - seeking ways to speed discovery and understanding in materials and chemistry with AI. We'll share our findings soon, but from what I've heard already prepare to be amazed.

Recently published in #MachineLearningEngineering 🥳 Read the #openaccess article: 'Understanding interpretable patterns of Shapley behaviours in materials data' 👉 ow.ly/bmmN50WHE2X From Tommy Liu and Amanda S Barnard, (Australian National University) #DataAnalysis #ExplainableArtificialIntelligence

Interested in reviewing cutting edge science and contributing to the scholarly community? 🌟 Register now to begin your journey as a peer reviewer with us! Learn more -> ow.ly/7eFu50WzWNO #EarlyCareerResearcher #PeerReview

In our Author Insights short blog series, Emma Bartovsky discusses key benefits to publishing open access, including how you can enable wider collaboration. Find out more👉 ow.ly/XtEu50WQ7gb  #AuthorInsights #PublishingSupport #PublishingAdvice #ResearcherSupport

AI is revolutionising the design and optimisation of fibrous networks - key structures in biological and engineered materials. Find out more 👉 iopscience.iop.org/article/10.1...

Celebrating the 5th anniversary in of Journal of Physics: Complexity: ow.ly/PqWk50WP5nu Read the newly published Editorial by our Editor-in-Chief, Professor Ginestra Bianconi (‪@gin-bianconi.bsky.social‬) Highlighting the key role of #ComplexSystems research in #Physics and #Science in general.

Read Machine Learning Health’s recently published #article on how #algorithms can be used to improve preventative measures for underage #TobaccoConsumption. From Dana Louise Adcock and Shreyas Sridhar Kashyap (@syracuseuniversity.bsky.social) Read the full article: ow.ly/ehpS50WOWBK

Sign up to get your researcher publishing guide: ow.ly/s7ww50VLcF0 Get advice, tools, and tips as well as a step-by-step walk through, to help you publish your research and make an impact in the scientific community. #ScientificResearch #ResearchPublishingTips

Join more than 6,000 fellow researchers who have graduated on our free and rigorously assessed course. Become an IOP #PeerReview Excellence graduate this weekend! 🚩Get started today - ow.ly/FPjN50WzWP3 #EarlyCareerResearcher #MachineLearning

What can #MachineLearningHealth do for you? Bringing you fully accessible research, dedicated to the development and application of #MachineLearning in #Healthcare and the #medical, #biological, #clinical and #HealthSciences. 👉Read the editorial from our EiC, Jimeng Sun: ow.ly/9iUl50WMOo9

What does “That Published Feeling” mean to you? www.researchinformation.info/analysis-opi... Publisher Daniel Jopling seeking inspirational stories behind moment that reflects “a belief in the value of their research” @ioppublishing.bsky.social

🎓Contribute to the scholarly community as a peer reviewer 🌟 Strengthen your academic profile 🌟 Stay ahead with the latest discoveries 🌟 Enhance your professional skills Register your interest 👉 ow.ly/julp50WzWNz #PeerReview #AcademicPublishing

#MachineLearningEarth is here for you! MLEarth brings you fully accessible research at the intersection of machine learning and earth and #EnvironmentalSciences. Discover more from our Editor-in-Chief @pierregentine.bsky.social: ow.ly/EGG350WIQvq #earthscience #openaccess #machinelearning

Discover #MachineLearningEngineering Delivering accessible, cutting-edge #research, focused on the development and application of #MachineLearning across #engineering —including theoretical, methodological, and real-world innovations. 🗨️Hear from our Editor-in-Chief Jay Lee: ow.ly/yByW50WFXp6

🚀 AI for Science is spotlighting how AI is transforming scientific discovery. We welcome your research covering: ⚙️ AI algorithms 🧰 AI toolkits & frameworks 📊 AI-ready datasets 🤖 Embodied AI systems Discover the journal scope 👉 iopscience.iop.org/journal/3050... #AIforScience #OpenAccess

Hot off the press! Calling all #Medical, #Clinical, #Biological, and #HealthScience researchers! Are you interested in the development and application of #MachineLearning and #ComputationalMethods in your field? Read our first issue, for the latest scientific developments: ow.ly/wwwX50WCCXq

Very happy to have this beautiful review published in Machine Learning: Science and Technology! @iopp-mlresearch.bsky.social

Free-to-read opinion article: Science is evolving, and article formats need to keep up, writes Antigoni Messaritaki of @ioppublishing.bsky.social www.researchprofessionalnews.com/rr-news-euro...

Calling Machine Learning #Researchers! This free-to-attend, hybrid event will provide you with a global platform to discuss #MachineLearning across #science and #industry, from #Engineering to #Medicine and #HealthScience & #EnvironmentalSciences. Find out more: ow.ly/TJ0650WBk4J #ML4S2025

AI for Science takes a deep learning approach to search for superconductors from electronic bands🔍 Explore this #OpenAccess work that bridges machine learning with superconductivity theory 🔓👉 iopscience.iop.org/article/10.1... #AIforScience

Read Machine Learning: Earth's first issue: ow.ly/Fl8i50Wzg5Z Are you applying #MachineLearning and #ComputationalMethods to tackle challenges in #EnvironmentalScience, #ClimateScience, #Ecology, #RenewableEnergy or #EarthSystems? Then this is for you! Discover the latest scientific developments!

#MachineLearning (ML) for orbital-free density functional theory (OF-DFT) and OF-DFT for ML. Manzhos and coworkers tackle the kinetic energy functional in this new #MachineLearningScienceandTechnology article. #compchem #CompChemSky Read it here: bit.ly/45eGM0f

A new study in #MachineLearningHealth discovers that #ChatGPT can accelerate patient screening for #ClinicalTrials, showing promise in reducing delays and improving trial success rates. Published in Machine Learning: Health's First issue. Read the full, open access issue here: ow.ly/I8VF50WxRah

Read the first issue: ow.ly/rHfT50WxQu0 For #Engineers across all disciplines—#Mechanical, #Electrical, #Robotics, #Bioengineering, #Aerospace, #Civil, #Chemical, #Materials, and more! Discover the latest developments and applications of #MachineLearning and #ComputationalMethods in your field.

Great news for AI for Science authors!🎉 🔓 All article publication charges are still fully waived, meaning you can share your research with a global audience completely free of charge. Start publishing today 👉 iopscience.iop.org/journal/3050... #AIForScience #AIScienceResearch #OpenAccess

🚨 Fake news spreads fast—but #AI is catching up! A new study uses graph neural networks to map how misinformation travels, boosting detection accuracy to 97%. The future of truth-finding is structural. Read article here: bit.ly/4lJ1Z9L #MachineLearning #FakeNews

Calling Machine Learning #Researchers! This free-to-attend, hybrid event will provide you with a global platform to discuss #MachineLearning across #science and #industry, from #engineering to #healthcare & #EnvironmentalSciences. Find out more and register here: ow.ly/N97q50WtMUE #ML4S2025

Publish in AI for Science for: 🔬 Broad scope for AI-driven scientific breakthroughs 🌍 Open access publishing at no cost to you ✅ Review by top international experts ⚡ Fast publication 📝 Formatting your way and we’ll handle the rest 🔗 Submit now: iopscience.iop.org/journal/3050... #AIResearch

⚛️Great new #MLST article on ‘Evidential #DeepLearning for #UncertaintyQuantification and #AnomalyDetection in Jet Identification’ From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social Paper ➡️http://bit.ly/3TMiu8A #MachineLearningScienceandTechnology #machinelearning

⚛️New Review Article out now in #MachineLearningScienceandTechnology on Opportunities in #continual_learning for applications of #machine_learning in #ParticleAccelerators 🤖 Authors from Jefferson Lab; Uni of Houston; SLAC Nat Lab; Oak Ridge Nat Lab Read the Review ➡️ bit.ly/4lzy8Ag

🔍 New insights into reservoir computing! Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think. Read here👉 bit.ly/44MgPF4 Researchers from @colorado.edu #MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks

❓Starting your publishing journey? We provide a step-by-step guide that helps you through the entire #publishing process. From writing your manuscript through to what to do after #publication. Sign up for your copy: ow.ly/s7ww50VLcF0 #HowToGetPublished #PublishingSupport

🔎Great new work in #MachineLearningScienceandTechnology ! A multiscale #Bayesian approach that turns few X-rays into comprehensive chemical maps Researchers from @heriotwattuni.bsky.social, EPFL & DQMP, Uni of Geneva Read the full paper ➡️ bit.ly/4lKMwoX #Multiscale #Electron #Microscopy #Denoising

🔎Great new work in #MachineLearningScienceandTechnology ! A multiscale #Bayesian approach that turns few X-rays into comprehensive chemical maps Researchers from @heriotwattuni.bsky.social, EPFL & DQMP, Uni of Geneva Read the full paper ➡️ bit.ly/4lKMwoX #Multiscale #Electron #Microscopy #Denoising

🚨Great new Dataset article in #MLST🚨 @kasieczka.bsky.social @mikraemer.bsky.social @ozamram.bsky.social & co-authors ‘prep 180M jets from pp collisions for easy AI training & use them to pre-train a foundation model’ #FoundationModels #ParticlePhysics #OpenData #LHC Paper ➡️ bit.ly/4eE0QO1

🌟 Interested in reviewing cutting edge science and contributing to the scholarly community? Register now to begin your journey as a peer reviewer with us! Learn more 👉 ow.ly/zByo50VLnxI #EarlyCareerResearcher #PeerReview

We’re excited to announce that our sponsored article is now live in #PhysicsWorld, highlighting the vision for our new journal, AI for Science. A home for research which showcases the transformative role of AI in scientific research across disciplines. Discover 👉 physicsworld.com/a/new-open-a...

First manuscript under the banner of @coreacter.org, first solo-author manuscript, first manuscript on the topic of philosophy/ethics. Lots to be proud of with this one; I'm so glad it was published @iopp-mlresearch.bsky.social ML:ST!

🚀 New frontier in Topological Data Analysis: Quantum algorithms for estimating distances between persistence diagrams! This work proposes variational quantum methods for Wasserstein distance—paving the way for a fully quantum TDA pipeline. ➡️ bit.ly/4nw3NnT #QuantumComputing #TDA #MachineLearning

🚨Challenges article alert!🚨 In this paper, Zhang, Wang and coworkers describe the #OpenLAMChallenges, competitions designed to benchmark #machinelearning methods and accelerate ML-driven discovery. Read the #MachineLearningScienceandTechnology article here: bit.ly/3TTlZtP 1/2

📢 Materials scientists, we want your answers! Contribute to our new Open Questions series by answering Aron Walsh’s question: Can AI design truly novel materials? ✍️ Add your voice with a perspective, review, or research article: ow.ly/ouzL50Whkky #MaterialsScience #AI #OpenScience