machine Understanding the Role of Machine Learning Feature Stores in Modern Data Infrastructure By www.ibtimes.co.in Published On :: Fri, 08 Nov 2024 12:36:20 +0530 Ravi Kiran Magham highlights the transformative role of Machine Learning Feature Stores in modern data infrastructures. Full Article
machine Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer By techcrunch.com Published On :: Sat, 02 Nov 2024 17:00:00 +0000 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. Full Article Enterprise nvidia Quantum Quantum Machines
machine 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
machine 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
machine 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
machine 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
machine 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
machine 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
machine 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
machine 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
machine 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
machine 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
machine Engineering for curious kids : an illustrated introduction to building machines and amazing structures! / [author: Chris Oxlade ; illustrator: Alex Foster] By darius.uleth.ca Published On :: Oxlade, Chris, author Full Article
machine Mazie's amazing machines / Sheryl Haft ; illustrated by Jeremy Holmes By darius.uleth.ca Published On :: Haft, Sheryl, author Full Article
machine 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
machine 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
machine Those magnificent flying machines By www.thehindubusinessline.com Published On :: Sun, 26 Dec 2021 18:12:38 +0530 The aviation industry’s roller-coaster ride Full Article Flight Plan
machine Google’s moneymaking machine still pumping out massive profits despite multiple threats By www.thehindu.com Published On :: Wed, 30 Oct 2024 08:18:51 +0530 Google is still thriving while the company navigates through a pivotal shift to artificial intelligence and battles regulators trying to topple its internet empire Full Article Technology
machine The new machine in town By www.thehindubusinessline.com Published On :: Sat, 30 Jun 2018 15:57:08 +0530 A new power-packed version of the Audi R5 changes a good thing for the better Full Article Luxe
machine The Future of Death: Inside the Machine That Dissolves Corpses | WIRED Originals By www.wired.com Published On :: Tue, 15 Aug 2017 11:00:04 +0000 WIRED explores the inner workings of The Resomator, a machine that uses alkaline hydrolysis to dissolve bodies, a cleaner and more humane method than cremation. Full Article
machine Vishal Chatrath: Human-machine teaming and real-world applications By www.wired.com Published On :: Mon, 08 Jul 2019 11:41:28 +0000 Vishal is CEO and co-founder of PROWLER.io, a Cambridge-based AI company whose mission is to enable leaders and organisations to make better business decisions by optimizing resources. PROWLER.io’s decision-making engine, VUKU, can process data in real time, adapt to uncertainty, act on sparse information and learn from experience. The company’s goal is to ensure that business is powered by people; empowered by AI. In this talk, Vishal Chatrath argues for an increased role for Europe in AI technology. According to Chatrath, Europe’s efficiency and past success in standardising mobile communications should give it the confidence it needs to have a bigger influence on the global AI stage. 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
machine 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
machine The Recycling Machine Reinventing Fashion By www.wired.com Published On :: Mon, 23 Aug 2021 12:00:00 +0000 In collaboration with H&M, this new series shows how fashion is changing for the better. First off, tech and textile innovator Erik Bang on the world’s first Looop recycling system. Full Article
machine Concealable Physical Unclonable Function Generation and In-Memory Encryption Machine using Vertical Self-Rectifying Memristors By pubs.rsc.org Published On :: Nanoscale Horiz., 2024, Accepted ManuscriptDOI: 10.1039/D4NH00420E, CommunicationJea Min Cho, Seungsoo Kim, Tae Won Park, Dong Hoon Shin, Yeong Rok Kim, Hyungjun Park, Dong Yun Kim, Soo Hyung Lee, Taegyun Park, Cheol Seong HwangThe importance of hardware security increases significantly to protect the vast amounts of private data stored on edge devices. Physical unclonable functions (PUFs) are gaining prominence as hardware security primitives...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
machine W for Washing machines: Spinning change in homes By www.thehindubusinessline.com Published On :: Thu, 18 Jul 2024 17:06:32 +0530 The device has democratised laundry duty sparing women backaches and making it cool for men to share the load Full Article Marketing
machine 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
machine 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
machine George Kittle is a touchdown machine in 2024! By sports.yahoo.com Published On :: Tue, 12 Nov 2024 21:38:20 GMT Yahoo fantasy analyst Andy Behrens explains why fantasy managers should roll with the San Francisco TE in Week 11. Full Article video News
machine Hot Hot Fruit Slot Machine Review: A Sizzling Spin for Slot Enthusiasts By catswhocode.com Published On :: Sat, 11 Feb 2023 00:20:00 +0000 The Hot Hot Fruit slot machine will spark your gaming experience. This fiery slot, created by a prominent gaming supplier, promises an explosive gameplay experience packed with alluring features, bright graphics, and the possibility of huge payouts. We’ll examine the game’s mechanics, symbols, bonus features, betting possibilities, visual and auditory components, as well as its […] Full Article Blog
machine 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
machine 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
machine Who Is Afraid of Machines? [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Predictably Unequal? The Effects of Machine Learning on Credit Markets [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Machine imports, technology adoption and local spillovers [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Building(s and) cities: Delineating urban areas with a machine learning algorithm [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
machine Morphology of Lithium Halides in Tetrahydrofuran from Molecular Dynamics with Machine Learning Potentials By pubs.rsc.org Published On :: Chem. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4SC04957H, Edge Article Open Access This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Marinella de Giovanetti, Sondre H. Hopen Eliasson, Sigbjørn L. Bore, Odile Eisenstein, Michele CascellaThe preferred structures of lithium halides (LiX, with X = Cl, Br, I) in organic solvents have been the subject of a wide scientific debate, and a large variety of...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
machine Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures By pubs.rsc.org Published On :: Lab Chip, 2024, Advance ArticleDOI: 10.1039/D4LC00640B, Paper Open Access This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Xiang Ren, Ruyu Zhou, George Ronan, S. Gulberk Ozcebe, Jiaying Ji, Satyajyoti Senapati, Keith L. March, Eileen Handberg, David Anderson, Carl J. Pepine, Hsueh-Chia Chang, Fang Liu, Pinar ZorlutunaRapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management.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
machine 5-axis CNC micro-milling machine for three-dimensional microfluidics By pubs.rsc.org Published On :: Lab Chip, 2024, Accepted ManuscriptDOI: 10.1039/D4LC00496E, Paper Open Access This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Mitchell Modarelli, Devin Kot-Thompson, Kazunori HoshinoThe gold standard of microfluidic fabrication techniques, SU-8 patterning, requires photolithography equipment and facilities and is not suitable for 3D microfluidics. A 3D printer is more convenient and may achieve...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
machine GST portal: Pan masala, tobacco manufacturers to register their machines By www.thehindubusinessline.com Published On :: Fri, 17 May 2024 08:50:32 +0530 GST portal introduces forms for manufacturers of pan masala and tobacco to register machines and track inputs/outputs Full Article Policy
machine 616: Strum Machine with Luke Abbott By shoptalkshow.com Published On :: Mon, 20 May 2024 08:09:58 +0000 Luke Abbott is the creator of Strum Machine, an app that simulates backing tracks by stitching together individual notes, chords, and strums recorded on guitar, standup bass, and mandolin. We talk about what Strum Machine does, why he decided to build it, how bringing on a professional designer helped, pricing thoughts, and the "fun" of building a version on iOS. Full Article All Episodes app banjo music
machine TNAU, Coimbatore, gets design patent for seed cube making machine By www.thehindu.com Published On :: Wed, 19 Jun 2024 18:39:33 +0530 Full Article Coimbatore
machine Kohli the run-machine goes past Tendulkar but... By www.rediff.com Published On :: Thu, 02 Nov 2023 21:43:12 +0530 Kohli's knock of 88 (94) was his 10th 50-plus score in the ODI format this year second only to Shubman Gill who leads the charts with twelve 50-plus ODI scores in 2023. Full Article
machine Self-assembly of amphiphilic homopolymers grafted onto spherical nanoparticles: complete embedded minimal surfaces and a machine learning algorithm for their recognition By pubs.rsc.org Published On :: Soft Matter, 2024, 20,8385-8394DOI: 10.1039/D4SM00616J, PaperD. A. Mitkovskiy, A. A. Lazutin, A. L. Talis, V. V. VasilevskayaAmphiphilic macromolecules grafted onto spherical nanoparticles can self-assemble into morphological structures corresponding to the family of complete embedded minimal surfaces. They arise situationally, can coexist and transform into each other.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
machine CAD Foundation of Mangaluru donates ECG machines for screening Sabarimala pilgrims in Kerala By www.thehindu.com Published On :: Wed, 06 Nov 2024 07:00:00 +0530 With this, the foundation completes donating 1,000 ECG machines to many health facilities across India since 2018 Full Article Mangaluru
machine Rise in rent of paddy harvesting machines worries farmers By www.thehindu.com Published On :: Tue, 12 Nov 2024 07:00:00 +0530 Full Article Karnataka
machine Reconceptualizing Mental Illness in the Viral Age [electronic resource] : Souls in the Machine / by Elliott B. Martin, Jr. By darius.uleth.ca Published On :: Newcastle upon Tyne : Cambridge Scholars Publishing, 2024. Full Article
machine Towards efficient and stable organic solar cells: fixing the morphology problem in block copolymer active layers with synergistic strategies supported by interpretable machine learning By pubs.rsc.org Published On :: Energy Environ. Sci., 2024, 17,8954-8965DOI: 10.1039/D4EE03168G, PaperYu Cui, Qunping Fan, Hao Feng, Tao Li, Dmitry Yu. Paraschuk, Wei Ma, Han YanInterpretable machine learning identifies the causal structure–property relationships and key control factors in block copolymer organic solar cells with excellent power conversion efficiency and thermal stability.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
