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Lab Digitalization Loop Picks Up Speed

This whitepaper outlines how the collaboration of organizations across science-based industries and their leveraging of advanced technology will improve lab processes and productivity. Digitalization will accelerate scientific creativity, bringing better products to market faster. Together these trends will not just benefit science but enable better care for patients as well.

Laboratory 4.0: Moving Beyond Digitalization in the Lab

Today’s laboratories are becoming increasingly complex, with ever more data being generated and captured. At the same time, regulatory oversight is stronger than ever and places new compliance burdens on everyday operations. In response to this landscape, many laboratories have already implemented digitalization technologies or are in the process of doing so. But with the rise of Industry 4.0, which brings increased automation and digital information transfer in manufacturing, many organizations are contemplating what this means for the future of the lab.

Leveraging Machine Learning for Decision Making in the Materials Sciences

Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These approaches can help scientists do more with less, building a stronger, data-driven foundation for decision making and guiding future research.

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How the Internet of Things Validates the Lab of the Future

Imagine a laboratory in the future where all devices and instruments communicate their status, activities and data with each other and with enterprise information systems. Data would be acquired without manual intervention.

As the Internet of Things approaches mainstream adoption and standards for data exchange among devices mature, smart labs can become a reality. In this white paper we discuss:

  • The Evolution of the Laboratory
  • How Internet of Things (IoT) is a key supporting technology for Labs of the Future
  • The Components of a Connected Lab
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Fostering Data Standardisation for Collaborative Innovation in the Analytical Lab

R&D-driven industries talk a lot about progressing towards the paperless laboratory. The ultimate aim is to capture and store all experimental, process, inventory and results data, from the earliest stages of discovery, through to manufacturing, QA/QC and even instrument management, in an electronic format

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Robert Roe reports on developments in AI that are helping to shape the future of high performance computing technology at the International Supercomputing Conference

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James Reinders is a parallel programming and HPC expert with more than 27 years’ experience working for Intel until his retirement in 2017. In this article Reinders gives his take on the use of roofline estimation as a tool for code optimisation in HPC

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Sophia Ktori concludes her two-part series exploring the use of laboratory informatics software in regulated industries.

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As storage technology adapts to changing HPC workloads, Robert Roe looks at the technologies that could help to enhance performance and accessibility of
storage in HPC

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By using simulation software, road bike manufacturers can deliver higher performance products in less time and at a lower cost than previously achievable, as Keely Portway discovers