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Big data analytics help teaching staff improve university students’ performance

Scienmag

Juan Pedro Cerro, a member of faculty at the Universitat Oberta de Catalunya (UOC) and researcher at Edul@b, has demonstrated the effectiveness of big data when applied to education. Cerro, a computer engineer, developed the DIANA application (an […].

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Computer scientist makes big data more accessible

Scienmag

UTA researcher working to make data more usable and accessible Credit: UT Arlington A computer science professor at The University of Texas at Arlington is working with researchers to develop a process by which data points in multiple graph layers of a very large dataset can be connected in a way that is both highly […].

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The Future of Patent Intelligence Tools: How AI is Revolutionizing the Landscape

Drug Patent Watch

Advanced Patent Search and Analysis AI-Powered Search Engines AI-powered search engines are revolutionizing the way businesses conduct patent searches. These tools leverage machine learning algorithms to sift through vast amounts of data, identify relevant patents, and provide insights that were previously unattainable.

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Pharma Research Trends: Leveraging Innovation for Smarter Marketing Strategies

Pharma Marketing Network

AI and Big Data: Transforming Pharma Research Artificial intelligence and big data analytics are revolutionizing pharma research. Trends in Drug Development and Launch Strategies Drug development trends, such as accelerated approvals and adaptive trials, require marketers to stay agile.

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Revolutionizing Medicine and Public Health: The Emergence of Big Data in Healthcare

Roots Analysis

Big Data in healthcare refers to the vast amount of data that is continuously expanding and cannot be efficiently stored or processed using traditional tools. It accounts for the majority of big data in healthcare and comprises information, such as medical images, surveys, chats, and written narratives.

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Skoltech researchers propose a new data-driven tool to better understand startups

Scienmag

2021 Skoltech researchers used Google Trends’ Big Data ensuing from human interactions with the Internet to develop a new methodology – a tool and a data source – for analyzing and researching the growth of startups. Credit: Malyy et al.,

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A statistical solution to processing very large datasets efficiently with memory limit

Scienmag

Scientists develop a statistical randomness-based framework to optimally classify extremely large datasets without needing large memories Credit: Ryo Maezono from JAIST.