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Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.

18Mar 26
a-hybrid-deep-learning-approach-integrating-cnn-and-transformer-for-lung-cancer-classification-using-ct-scans-–-scientific-reports

A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans – Scientific Reports

References Sun, W., Zheng, B. & Qian, W. Computer aided lung cancer diagnosis with deep learning algorithms. In Medical Imaging 2016: Computer-Aided Diagnosis vol. 9785, 241–248 (SPIE, 2016). Zhou, Z.-H., Jiang, Y., Yang, Y.-B. & Chen, S.-F. Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Med. 24, 25–36 (2002). Google Scholar 

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17Mar 26
using ai-to improve-standard-of-care-cardiac-imaging 

Using AI to improve standard-of-care cardiac imaging 

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.   Most standard echocardiograms provide two-dimensional visual images (2D) of the three-dimensional (3D) cardiac anatomy. These echocardiograms often capture hundreds of 2D slices or views of a

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17Mar 26
deep-learning-based-predictive-maintenance:-the-backbone-of-smart-manufacturing-4.0

Deep Learning-Based Predictive Maintenance: The Backbone of Smart Manufacturing 4.0

Introduction: Why Downtime Is No Longer Acceptable Unplanned downtime remains one of the most persistent and costly challenges in modern manufacturing. Studies and industry assessments from organisations such as Siemens and the Aberdeen Group have consistently shown that unexpected equipment failures cost global manufacturers tens of billions of dollars every year, with large automotive plants

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17Mar 26
aws-ai-league:-atos-fine-tunes-approach-to-ai-education-|-amazon-web-services

AWS AI League: Atos fine-tunes approach to AI education | Amazon Web Services

This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes how teams build, deploy, and use AI. Traditional AI training approaches—online courses, certification programs, and classroom-based instruction—are necessary, but often insufficient. While they build foundational

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16Mar 26
artificial-intelligence-driven-approach-for-securing-backup-data-and-enhancing-cyber-resilience-in-sustainable-smart-infrastructure-–-scientific-reports

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure – Scientific Reports

Article Open access Published: 16 March 2026 Basant Kumar1,2, Shashi Kant Gupta1,3, Rashmi Dwivedi4,5, Deema Mohammed Alsekai6, Diaa Salama AbdElminaam7,8 & … Ozlem Kilickaya9  Scientific Reports , Article number:  (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo

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16Mar 26
ai-driven-sustainable-strength-prediction-and-experimental-evaluation-of-high-performance-fiber-reinforced-concrete-incorporating-metakaolin-–-scientific-reports

AI-driven sustainable strength prediction and experimental evaluation of high-performance fiber-reinforced concrete incorporating metakaolin – Scientific Reports

References Hussain, S. & Yadav, J. S. Mechanical and durability performances of alkali-resistant glass fiber-reinforced concrete. Jordan J. Civ. Eng. 17(2), 231–246 (2023). Google Scholar  Bureau of Indian Standards. IS 456:2000 – Plain and Reinforced Concrete – Code of Practice (BIS, 2000). Google Scholar  Grazulyte, J., Vaitkus, A., Šernas, O., &Čygas, D. Effect of silica

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16Mar 26
does-generative-ai-“work”?-that’s-a-misleading-question.

Does Generative AI “Work”? That’s a Misleading Question.

For a decade and a half now, my work has fallen into two categories: collecting evidence on the threat posed by fossil fuels, and deploying written and spoken words to urge action against it. Recently, generative AI systems have entered both of these spheres at a pace I struggle to process. In jobs that depend

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