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Make English Learning a Habit

English nowadays is not an added skill – it is a basic requirement. Whether you are a student, intern, professional, or just a regular person, you will realize how important fluent spoken...




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Understanding the Role of Machine Learning Feature Stores in Modern Data Infrastructure

Ravi Kiran Magham highlights the transformative role of Machine Learning Feature Stores in modern data infrastructures.




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Lessons Learnt in Product Development

Product development is an interesting activity.  It involves a lot of challenges and lot of learnings.  But...




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Learn how to land your first investor from Sequoia’s Jess Lee at TC Early Stage

Tapping personal savings or invoking the friends and family plan are signature hallmarks of fledgling startup finance. Eventually though, the majority of early-stage founders will leave their bootstrapping days behind and turn to institutional investors for the capital infusion they need to grow. It’s not easy for inexperienced, first-time founders to attract and secure their […]

© 2024 TechCrunch. All rights reserved. For personal use only.




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Learn how to get into Y Combinator at TC Early Stage

You’ve been head down and hard at work for what feels like a lifetime, you have an MVP to show for all that sweat equity and you’re ready to jump-start your company’s trajectory. Building a startup can be a slow, lonely endeavor, but getting into a business accelerator can change that in a big way. […]

© 2024 TechCrunch. All rights reserved. For personal use only.




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Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s advanced quantum control hardware. We didn’t hear much about the results of this partnership for a while, but it’s now starting to bear fruit and […]

© 2024 TechCrunch. All rights reserved. For personal use only.




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Best Educational Apps for Children by Age Group to Enhance Learning

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




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Educational Tech Apps: Enhancing Learning for Special Needs Children Through Personalised Experiences

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




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Canon Launches EOS R1 and EOS R5 Mark II With High-Speed Burst Shooting, Deep Learning AF, & More

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




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Machine learning-driven investigation of the structure and dynamics of the BMIM-BF4 room temperature ionic liquid

Faraday Discuss., 2024, 253,129-145
DOI: 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 Holm
We 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.
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The Museum as Experience : Learning, Connection, and Shared Space

[S.l.] : ARC HUMANITIES PR, 2023.




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Social networks in language learning and language teaching [Electronic book] / edited by Avary Carhill-Poza, Naomi Kurata.

New York, NY : Bloomsbury Academic, 2020.




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Republican learning : John Toland and the crisis of Christian culture, 1696-1722 [Electronic book] / Justin Champion.

Manchester : Manchester University Press, [2018]




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A million pictures : magic lantern slides in the history of learning [Electronic book] / editors, Sarah Dellmann and Frank Kessler.

New Barnet, Herts, United Kingdom : John Libbey Publishing Ltd, [2020]




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Learning online : what research tells us about whether, when and how [Electronic book] / Barbara Means, Marianne Bakia, Robert Murphy.

New York ; Abingdon, Oxon : Routledge, Taylor & Francis Group, 2014.




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Applied text analysis with Python : enabling language-aware data products with machine learning [Electronic book] / Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda.

Sebastopol : O'Reilly Media, 2018.




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Screening for Urothelial Carcinoma Cells in Urine Based on Digital Holographic Flow Cytometry through Machine Learning and Deep Learning Method

Lab Chip, 2024, Accepted Manuscript
DOI: 10.1039/D3LC00854A, Paper
Lu Xin, Xi Xiao, Wen Xiao, Ran Peng, Hao Wang, Feng Pan
The 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...
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Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry

Lab Chip, 2024, 24,2237-2252
DOI: 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 Georgakoudi
We 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.
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A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning

RSC Adv., 2024, 14,12235-12246
DOI: 10.1039/D4RA00710G, Paper
Open Access
Xiaofeng Cao, Wenjia Luo, Huimin Liu
Machine-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




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Correction: Photocatalytic degradation of drugs and dyes using a machine learning approach

RSC Adv., 2024, 14,12983-12983
DOI: 10.1039/D4RA90045F, Correction
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Ganesan Anandhi, M. Iyapparaja
The content of this RSS Feed (c) The Royal Society of Chemistry




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ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction

RSC Adv., 2024, 14,13083-13094
DOI: 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. Ecker
Predict 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




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Interpretable machining learning assisted insights into bifunctional squaramide catalyzed ring-opening polymerization of lactide

Polym. Chem., 2024, 15,4562-4569
DOI: 10.1039/D4PY00866A, Paper
Shaoju Cao, Mengting Hong, Junyuan Hu, Zhenjiang Li, Jin Huang, Kai Guo
A 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




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Machine Learning-Assisted Pattern Recognition and Imaging of Multiplexed Cancer Cells via Porphyrin-Embedded Dendrimer Array

J. Mater. Chem. B, 2024, Accepted Manuscript
DOI: 10.1039/D4TB01861C, Paper
Jiabao Hu, Weiwei Ni, Mengting Han, Yunzhen Zhan, Fei Li, Hui Huang, Jinsong Han
Early 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





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Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time

Analyst, 2024, 149,5535-5545
DOI: 10.1039/D4AN00729H, Paper
Open Access
Katherine J. I. Ember, Nassim Ksantini, Frédérick Dallaire, Guillaume Sheehy, Trang Tran, Mathieu Dehaes, Madeleine Durand, Dominique Trudel, Frédéric Leblond
Raman 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




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Machine-learning-accelerated structure prediction of PtSnO nanoclusters under working conditions

Phys. Chem. Chem. Phys., 2024, 26,27624-27632
DOI: 10.1039/D4CP03769C, Paper
Fanke Zeng, Wanglai Cen
Credible 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.
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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

Phys. Chem. Chem. Phys., 2024, 26,27751-27762
DOI: 10.1039/D4CP03534H, Paper
Po-Jen Hsu, Atsuya Mizuide, Jer-Lai Kuo, Asuka Fujii
Infrared 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




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Deciphering nonlinear optical properties in functionalized hexaphyrins via explainable machine learning

Phys. Chem. Chem. Phys., 2024, Advance Article
DOI: 10.1039/D4CP03303E, Paper
Eline Desmedt, Michiel Jacobs, Mercedes Alonso, Freija De Vleeschouwer
The 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




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In the age of e-learning

With advancing technology, the process of teaching and learning is also undergoing radical change.




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Some learning, some fun




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Machine Learning Directed Discovery and Optimisation of a Platinum-Catalysed Amide Reduction

Chem. Commun., 2024, Accepted Manuscript
DOI: 10.1039/D4CC05273K, Communication
Open Access
Eleonora Casillo, Benon Maliszewski, Cesar Blanco, Thomas Scattolin, Catherine Cazin, Steven P Nolan
The 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....
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Ahead of 2023, here are five stories that prove it’s never too late to learn something new

These people could inspire you to take up a hobby or learn a skill this New Year, no matter how old you are



  • Life & Style

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Five things I’ve learnt from TV ads




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Managing to learn [electronic resource] / Sabrin A. Beg, Anne E. Fitzpatrick, Adrienne Lucas

Cambridge, Mass. : National Bureau of Economic Research, 2023




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Lessons to be learnt on the march to net zero

A World Resources Institute paper presents five case studies that are worthy of replication




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Teach and learn

Rinki’s mother worried about her daughter not revising her lessons. But Mother knew how to get her to study and have fun at the same time.




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Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach

Org. Biomol. Chem., 2024, Advance Article
DOI: 10.1039/D4OB00408F, Paper
Open Access
Yuya Tsutsui, Issei Yanaka, Kazuhiro Takeda, Masaru Kondo, Shinobu Takizawa, Ryosuke Kojima, Akihito Konishi, Makoto Yasuda
Exploration 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.
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Covid lessons learned? U.N. summit mulls plan for healthy planet, and humans

At the U.N. summit in Cali, delegates are working on a “biodiversity and health action plan” proposed for adoption by the 196 member nations of the Convention on Biological Diversity




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Learning to live with competition

One does not have to run the rat race; there are other ways to handle corporate life




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Risk Management: Learning to tackle operational surprises

Knowing what can go wrong is key to getting things done right




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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

Lynnfield, Massachusetts CAST [2024]




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Decolonial underground pedagogy [electronic resource] : unschooling and subcultural learning for peace and human rights / Noah Romero.

London : Bloomsbury Academic, 2024.




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Outdoor learning in higher education [electronic resource] : educating beyond the seminar room / edited by Wendy Garnham and Paolo Oprandi.

Abingdon, Oxon ; New York, NY : Routledge , 2025.




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Postdigital learning spaces [electronic resource] : towards convivial, equitable, and sustainable spaces for learning / James Lamb, Lucila Carvalho, editors.

Cham, Switzerland : Springer Nature, 2024.




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Lenovo launches ‘Lenovo Aware’ smart learning solution for consumers

Will come pre-bundled with IdeaPad Slim 3i and IdeaPad Slim 5i laptops




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The biomimicry revolution : learning from nature how to inhabit the earth / Henry Dicks.

New York : Columbia University Press, [2023]




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Learning support : a guide for mature students / Elizabeth Hoult.

London : SAGE Publications, 2006.




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Teaching study skills and supporting learning / Stella Cottrell.

Basingstoke : Palgrave, 2001.




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Keyu Jin: What The World Can Learn From Chinese Innovation

The world once looked down on Chinese tech – seeing it as a copycat ecosystem. That was once true; but while the world sneered, China was catching up: China now has the fastest supercomputer in the world, a digital payments market 50 per cent larger than that of the US, and the biggest issuer of new international patents. Seven of the top ten unicorns are Chinese. Keyu Jin, a professor, London School of Economics, is researching globalisation and the Chinese economy, focusing on bridging western capital and a new breed of fastgrowing Chinese technology companies. ABOUT WIRED SMARTER Experts and business leaders from the worlds of Energy, Money and Retail gathered at Kings Place, London, for WIRED Smarter on October 9, 2018. Discover some of the fascinating insights from speakers here: http://wired.uk/V29vMg ABOUT WIRED EVENTS 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 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