learning Best Educational Apps for Children by Age Group to Enhance Learning By www.gizbot.com Published On :: Sun, 13 Oct 2024 15:00:50 +0530 Educational apps have become indispensable tools for children's learning. These apps cater to various age groups, offering tailored content that enhances cognitive skills and creativity. For tech enthusiasts in India, understanding the best educational apps by age group can help in Full Article
learning Educational Tech Apps: Enhancing Learning for Special Needs Children Through Personalised Experiences By www.gizbot.com Published On :: Wed, 30 Oct 2024 09:15:01 +0530 In today's digital age, technology is transforming education, especially for children with special needs. Educational tech apps offer tailored learning experiences that cater to individual requirements. These apps can significantly enhance learning outcomes and provide a supportive environment for children with Full Article
learning Canon Launches EOS R1 and EOS R5 Mark II With High-Speed Burst Shooting, Deep Learning AF, & More By www.gizbot.com Published On :: Sat, 20 Jul 2024 11:11:04 +0530 Canon, a known face in digital imaging solutions, recently announced the introduction of two highly anticipated cameras to its EOS R series: the EOS R1 and EOS R5 Mark II. These cameras boast next-generation intelligent features, superior quality, impressive speed, and Full Article
learning Machine learning-driven investigation of the structure and dynamics of the BMIM-BF4 room temperature ionic liquid By pubs.rsc.org Published On :: Faraday Discuss., 2024, 253,129-145DOI: 10.1039/D4FD00025K, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Fabian Zills, Moritz René Schäfer, Samuel Tovey, Johannes Kästner, Christian HolmWe demonstrate a learning-on-the-fly procedure to train machine-learned potentials from single-point density functional theory calculations before performing production molecular dynamics simulations.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning The Museum as Experience : Learning, Connection, and Shared Space By encore.st-andrews.ac.uk Published On :: [S.l.] : ARC HUMANITIES PR, 2023. Full Article
learning Social networks in language learning and language teaching [Electronic book] / edited by Avary Carhill-Poza, Naomi Kurata. By encore.st-andrews.ac.uk Published On :: New York, NY : Bloomsbury Academic, 2020. Full Article
learning Republican learning : John Toland and the crisis of Christian culture, 1696-1722 [Electronic book] / Justin Champion. By encore.st-andrews.ac.uk Published On :: Manchester : Manchester University Press, [2018] Full Article
learning A million pictures : magic lantern slides in the history of learning [Electronic book] / editors, Sarah Dellmann and Frank Kessler. By encore.st-andrews.ac.uk Published On :: New Barnet, Herts, United Kingdom : John Libbey Publishing Ltd, [2020] Full Article
learning Learning online : what research tells us about whether, when and how [Electronic book] / Barbara Means, Marianne Bakia, Robert Murphy. By encore.st-andrews.ac.uk Published On :: New York ; Abingdon, Oxon : Routledge, Taylor & Francis Group, 2014. Full Article
learning Applied text analysis with Python : enabling language-aware data products with machine learning [Electronic book] / Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda. By encore.st-andrews.ac.uk Published On :: Sebastopol : O'Reilly Media, 2018. Full Article
learning Screening for Urothelial Carcinoma Cells in Urine Based on Digital Holographic Flow Cytometry through Machine Learning and Deep Learning Method By pubs.rsc.org Published On :: Lab Chip, 2024, Accepted ManuscriptDOI: 10.1039/D3LC00854A, PaperLu Xin, Xi Xiao, Wen Xiao, Ran Peng, Hao Wang, Feng PanThe incidence of urothelial carcinoma continue to rise annually, particularly among the elderly. Prompt diagnosis and treatment can significantly enhance patient survival and quality of life. Urine cytology remains a...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry By pubs.rsc.org Published On :: Lab Chip, 2024, 24,2237-2252DOI: 10.1039/D3LC00694H, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Nilay Vora, Prashant Shekar, Taras Hanulia, Michael Esmail, Abani Patra, Irene GeorgakoudiWe present a deep-learning enabled, label-free flow cytometry platform for identifying circulating tumor cell clusters in whole blood based on the endogenous scattering detected at three wavelengths. The method has potential for in vivo translation.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning By pubs.rsc.org Published On :: RSC Adv., 2024, 14,12235-12246DOI: 10.1039/D4RA00710G, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Xiaofeng Cao, Wenjia Luo, Huimin LiuMachine-learning models were constructed to accurately predict CO2 and CO adsorption affinity on a wide range of binary alloying.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Correction: Photocatalytic degradation of drugs and dyes using a machine learning approach By pubs.rsc.org Published On :: RSC Adv., 2024, 14,12983-12983DOI: 10.1039/D4RA90045F, Correction Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Ganesan Anandhi, M. IyapparajaThe content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction By pubs.rsc.org Published On :: RSC Adv., 2024, 14,13083-13094DOI: 10.1039/D4RA00748D, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Jiahui Huang, Tanja Osthushenrich, Aidan MacNamara, Anders Mälarstig, Silvia Brocchetti, Samuel Bradberry, Lia Scarabottolo, Evandro Ferrada, Sergey Sosnin, Daniela Digles, Giulio Superti-Furga, Gerhard F. EckerPredict SLC6 mutation clinical pathogenicity by calculating the amino acid descriptors in different ranges with rationalization analysis of the prediction.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Interpretable machining learning assisted insights into bifunctional squaramide catalyzed ring-opening polymerization of lactide By pubs.rsc.org Published On :: Polym. Chem., 2024, 15,4562-4569DOI: 10.1039/D4PY00866A, PaperShaoju Cao, Mengting Hong, Junyuan Hu, Zhenjiang Li, Jin Huang, Kai GuoA bifunctional squaramide catalyst with tunable activity enables the controlled ring-opening polymerization of lactide. Combining bench experiments and interpretable machine learning offer insights into catalyst structures, promoting catalyst design.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Machine Learning-Assisted Pattern Recognition and Imaging of Multiplexed Cancer Cells via Porphyrin-Embedded Dendrimer Array By pubs.rsc.org Published On :: J. Mater. Chem. B, 2024, Accepted ManuscriptDOI: 10.1039/D4TB01861C, PaperJiabao Hu, Weiwei Ni, Mengting Han, Yunzhen Zhan, Fei Li, Hui Huang, Jinsong HanEarly cancer detection plays a vital role in improving the survival rate of cancer patients, underscoring the importance of developing cancer detecting methods. However, it is of great challenge to...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time By pubs.rsc.org Published On :: Analyst, 2024, 149,5535-5545DOI: 10.1039/D4AN00729H, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Katherine J. I. Ember, Nassim Ksantini, Frédérick Dallaire, Guillaume Sheehy, Trang Tran, Mathieu Dehaes, Madeleine Durand, Dominique Trudel, Frédéric LeblondRaman spectroscopy and machine learning is used in combination to detect COVID-19 positive saliva in liquid form.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Machine-learning-accelerated structure prediction of PtSnO nanoclusters under working conditions By pubs.rsc.org Published On :: Phys. Chem. Chem. Phys., 2024, 26,27624-27632DOI: 10.1039/D4CP03769C, PaperFanke Zeng, Wanglai CenCredible property calculations based on the structure prediction of multi-component catalyst clusters under working conditions via a machine-learning-accelerated genetic algorithm and ab initio thermodynamics approach.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Hydrogen bond network structures of protonated 2,2,2-trifluoroethanol/ethanol mixed clusters probed by infrared spectroscopy combined with a deep-learning structure sampling approach: the origin of the linear type network preference in protonated fluoroal By pubs.rsc.org Published On :: Phys. Chem. Chem. Phys., 2024, 26,27751-27762DOI: 10.1039/D4CP03534H, PaperPo-Jen Hsu, Atsuya Mizuide, Jer-Lai Kuo, Asuka FujiiInfrared spectroscopy combined with a deep-learning structure sampling approach reveals the origin of the unusual structure preference in protonated fluorinated alcohol clusters.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Deciphering nonlinear optical properties in functionalized hexaphyrins via explainable machine learning By pubs.rsc.org Published On :: Phys. Chem. Chem. Phys., 2024, Advance ArticleDOI: 10.1039/D4CP03303E, PaperEline Desmedt, Michiel Jacobs, Mercedes Alonso, Freija De VleeschouwerThe NLO response of hexaphyrins is traced back to its driving forces using kernel ridge regression and explainable machine learning. Orbital and charge-transfer based features play a key role, as opposed to aromaticity and geometrical descriptors.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning In the age of e-learning By www.thehindu.com Published On :: Mon, 20 Jul 2015 05:00:19 +0530 With advancing technology, the process of teaching and learning is also undergoing radical change. Full Article Education Plus
learning Some learning, some fun By www.thehindu.com Published On :: Wed, 17 Feb 2016 15:51:05 +0530 Full Article Metroplus
learning Machine Learning Directed Discovery and Optimisation of a Platinum-Catalysed Amide Reduction By pubs.rsc.org Published On :: Chem. Commun., 2024, Accepted ManuscriptDOI: 10.1039/D4CC05273K, Communication Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Eleonora Casillo, Benon Maliszewski, Cesar Blanco, Thomas Scattolin, Catherine Cazin, Steven P NolanThe discovery and optimisation of reaction conditions leading to the reduction of amides, a fundamental large-scale industrial reaction, is achieved using a machine learning (ML) platform and a platinum catalyst....The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach By pubs.rsc.org Published On :: Org. Biomol. Chem., 2024, Advance ArticleDOI: 10.1039/D4OB00408F, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Yuya Tsutsui, Issei Yanaka, Kazuhiro Takeda, Masaru Kondo, Shinobu Takizawa, Ryosuke Kojima, Akihito Konishi, Makoto YasudaExploration of a Lewis acid with high selectivity for hydrocarbon moieties is assisted by a machine learning approach. Molecular polarizability is an essential factor, leading to design guidelines for Lewis acid catalysts with dispersion forces.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Learning to live with competition By www.thehindubusinessline.com Published On :: Tue, 17 Feb 2015 22:00:52 +0530 One does not have to run the rat race; there are other ways to handle corporate life Full Article New Manager
learning Risk Management: Learning to tackle operational surprises By www.thehindubusinessline.com Published On :: Tue, 23 Jun 2015 22:31:50 +0530 Knowing what can go wrong is key to getting things done right Full Article New Manager
learning Rethinking writing instruction in the age of AI [electronic resource]: a universal design for learning approach Randy Laist ; with contributions from Nicole Brewer, Cynthia J. Murphy, and Dana Sheehan By darius.uleth.ca Published On :: Lynnfield, Massachusetts CAST [2024] Full Article
learning Decolonial underground pedagogy [electronic resource] : unschooling and subcultural learning for peace and human rights / Noah Romero. By darius.uleth.ca Published On :: London : Bloomsbury Academic, 2024. Full Article
learning Outdoor learning in higher education [electronic resource] : educating beyond the seminar room / edited by Wendy Garnham and Paolo Oprandi. By darius.uleth.ca Published On :: Abingdon, Oxon ; New York, NY : Routledge , 2025. Full Article
learning Postdigital learning spaces [electronic resource] : towards convivial, equitable, and sustainable spaces for learning / James Lamb, Lucila Carvalho, editors. By darius.uleth.ca Published On :: Cham, Switzerland : Springer Nature, 2024. Full Article
learning Lenovo launches ‘Lenovo Aware’ smart learning solution for consumers By www.thehindubusinessline.com Published On :: Mon, 12 Jul 2021 12:32:04 +0530 Will come pre-bundled with IdeaPad Slim 3i and IdeaPad Slim 5i laptops Full Article Info-tech
learning The biomimicry revolution : learning from nature how to inhabit the earth / Henry Dicks. By encore.st-andrews.ac.uk Published On :: New York : Columbia University Press, [2023] Full Article
learning Learning support : a guide for mature students / Elizabeth Hoult. By encore.st-andrews.ac.uk Published On :: London : SAGE Publications, 2006. Full Article
learning Teaching study skills and supporting learning / Stella Cottrell. By encore.st-andrews.ac.uk Published On :: Basingstoke : Palgrave, 2001. Full Article
learning Marcus du Sautoy's The Creativity Code: How AI is learning to write, paint and think By www.wired.com Published On :: Mon, 08 Jul 2019 11:41:16 +0000 Simonyi professor and mathematician Marcus du Sautoy’s new book, The Creativity Code, explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human. In this engaging video, Marcus talks about using a definition from cognitive scientist Margaret Boden, claiming that creative acts must be novel, surprising and with value. According to du Sautoy, all three of these traits were present when AlphaGo – an AI trained to play the ancient game of Go – made a particularly unique and important move against world champion Lee Sedol in the second game of their match. ABOUT WIRED PULSE: AI AT THE BARBICAN 450 business executives, technologists and enthusiasts gathered at The Barbican Centre’s Concert Hall in London, for WIRED Pulse: AI at the Barbican on June 15, 2019. Discover some of the fascinating insights from speakers here: http://wired.uk/ai-event ABOUT WIRED PULSE AND WIRED EVENTS The WIRED Pulse series offers an engaging, top-level perspective on how disruptive technology and fast-changing industries - such as artificial intelligence, deep tech and health - are impacting the human experience. The aim is to distill the most pertinent strands of themes within each complex topic and to share it with the wider public as a thought-provoking conversation-starter. WIRED events shine a spotlight on the innovators, inventors and entrepreneurs who are changing our world for the better. Explore this channel for videos showing on-stage talks, behind-the-scenes action, exclusive interviews and performances from our roster of events. Join us as we uncover the most relevant, up-and-coming trends and meet the people building the future. ABOUT WIRED WIRED brings you the future as it happens - the people, the trends, the big ideas that will change our lives. An award-winning printed monthly and online publication. WIRED is an agenda-setting magazine offering brain food on a wide range of topics, from science, technology and business to pop-culture and politics. CONNECT WITH WIRED Events: http://wired.uk/events Web: http://po.st/WiredVideo Twitter: http://po.st/TwitterWired Facebook: http://po.st/FacebookWired Google+: http://po.st/GoogleWired Instagram: http://po.st/InstagramWired Magazine: http://po.st/MagazineWired Newsletter: http://po.st/NewslettersWired Full Article
learning Computer Scientist Explains Machine Learning in 5 Levels of Difficulty By www.wired.com Published On :: Wed, 18 Aug 2021 16:00:00 +0000 WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert. Full Article
learning Dilwale digital le jayenge – the smart future of online learning By www.thehindubusinessline.com Published On :: Sun, 04 Aug 2024 11:13:00 +0530 Welcome to the fast and furious world of online learning in India, where education meets the digital age with a dash of chutney. Full Article Marketing
learning Machine learning for deconstructing contributions of atomic characterizations to achieve hybridization-determined electron transfer in a perovskite catalyst By pubs.rsc.org Published On :: J. Mater. Chem. A, 2024, 12,30722-30728DOI: 10.1039/D4TA05018E, PaperJun Zhu, Mengdan Song, Qiling Qian, Yang Yue, Guangren Qian, Jia ZhangMachine learning deconstructed the atomic contribution of a perovskite to catalytic toluene decomposition and found that wider hybridization resulted in smaller impedance, faster electron transfer speed, and enhanced catalytic activity.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Development and application of Few-shot learning methods in materials science under data scarcity By pubs.rsc.org Published On :: J. Mater. Chem. A, 2024, 12,30249-30268DOI: 10.1039/D4TA06452F, Review ArticleYongxing Chen, Peng Long, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining JiMachine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Machine learning aided design of high performance copper-based sulfide photocathodes By pubs.rsc.org Published On :: J. Mater. Chem. A, 2024, Advance ArticleDOI: 10.1039/D4TA06128D, PaperYuxi Cao, Kaijie Shen, Yuanfei Li, Fumei Lan, Zeyu Guo, Kelu Zhang, Kang Wang, Feng JiangWith the help of machine learning algorithms, we developed software that can predict the performance of copper-based sulfide photocathodes and this system shows excellent accuracy of up to 96%.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Director Sai Rajesh: ‘Baby’ has been a learning experience; henceforth I will be more cautious in my writing By www.thehindu.com Published On :: Wed, 19 Jul 2023 16:16:44 +0530 Sai Rajesh, the writer-director of the Telugu romantic drama ‘Baby’ that has been eliciting extreme responses, says he did not intend to make a toxic film Full Article Movies
learning Online and offline learning using fading memory functions in HfSiOx-based ferroelectric tunnel junctions By pubs.rsc.org Published On :: J. Mater. Chem. C, 2024, 12,17362-17376DOI: 10.1039/D4TC03397C, CommunicationJungwoo Lee, Chaewon Youn, Jungang Heo, Sungjun KimWe demonstrate online and offline learning as well as associative learning such as in Pavlov's dog experiments using the non-volatile and volatile properties of HfSiOx-based FTJs.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning “It is not just the shape, there is more”: students’ learning of enzyme–substrate interactions with immersive Virtual Reality By pubs.rsc.org Published On :: Chem. Educ. Res. Pract., 2025, Advance ArticleDOI: 10.1039/D4RP00210E, PaperHenry Matovu, Mihye Won, Roy Tasker, Mauro Mocerino, David Franklin Treagust, Dewi Ayu Kencana Ungu, Chin-Chung TsaiTo cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Self-regulated learning strategies for success in an online first-year chemistry course By pubs.rsc.org Published On :: Chem. Educ. Res. Pract., 2025, Accepted ManuscriptDOI: 10.1039/D4RP00159A, PaperLanganani Rakhunwana, Angelique Kritzinger, Lynne Alison PilcherDuring their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Elucidating the impact of oxygen functional groups on the catalytic activity of M–N4–C catalysts for the oxygen reduction reaction: a density functional theory and machine learning approach By pubs.rsc.org Published On :: Mater. Horiz., 2024, 11,1719-1731DOI: 10.1039/D3MH02115G, CommunicationLiang Xie, Wei Zhou, Yuming Huang, Zhibin Qu, Longhao Li, Chaowei Yang, Yani Ding, Junfeng Li, Xiaoxiao Meng, Fei Sun, Jihui Gao, Guangbo Zhao, Yukun QinWhile current experimental and computational studies often concentrate on introducing external structures or idealized MN4 models, we emphasize the often-overlooked impact of inherent OGs within the carbon structure of MN4 materials, presenting a new perspective on their catalytic activity origin.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Exploring negative thermal expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning By pubs.rsc.org Published On :: Mater. Horiz., 2024, Advance ArticleDOI: 10.1039/D3MH01509B, CommunicationYu Cai, Chunyan Wang, Huanli Yuan, Yuan Guo, Jun-Hyung Cho, Xianran Xing, Yu JiaWe uses the multi-step ML method to mine 1000 potential NTE materials from ICSD, MPD and COD databases, and the presented phase diagram can serve as a preliminary criterion for judging and designing new NTE materials.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Union Budget 2024-25 — no signs of learning By www.thehindu.com Published On :: Wed, 24 Jul 2024 00:16:00 +0530 The mismatch between the problem at hand and what the Budget offers is stark be it welfare or even taking care of key political allies Full Article Lead
learning When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
learning Tax Simplicity and Heterogeneous Learning [electronic journal]. By encore.st-andrews.ac.uk Published On :: National Bureau of Economic Research Full Article