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Analytical data is ubiquitous in the world of chemical and biochemical R&D
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From new instruments and software to the rise of the digital lab, the landscape of analytical chemistry data continues to evolve, writes Sanji Bhal, Director, Marketing & Communications
UK deep tech AI company, T-DAB.AI, aims to accelerate the development of its Edge AI platform with £495,000 investment funding
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Around four in 10 data scientists are dissatisfied with their company’s use of analytics and model deployment
Qlucore and Clarivate have announced a partnership that aims to provide researchers with powerful and flexible omics data analysis and visualisation
Many laboratories today seem to fall into one of two extremes for data management: at one end, those that labor under complex, costly and customized IT infrastructures, such as LIMS or SDMS. At the other end are labs that still rely on pencil and paper notebooks, manual transcription, and basic Office tools. In this paper we will explore the need for new alternatives that support data integrity and interoperability with common scientific instruments, but with a low burden for IT installation.
Many routine operations and maintenance tasks can be performed remotely. With Thermo Scientific™ Chromeleon™ Chromatography Data System (CDS) both the lab and the IT department can work remotely, from across the lab to different sites or even different geographies, safely and efficiently.
Creating a digitally connected laboratory environment to automate and accelerate science is critical. A successful implementation of a laboratory orchestration platform enables innovation, productivity, global collaboration, reduces R&D costs, and sets an organization up for scientific success.
Learn more about how STARLIMS Standalone SDMS can support organizations to efficiently capture and parse documents and data, reducing the tedious, time consuming and error-prone manual data entry.
The Pistoia Alliance a not-for-profit alliance that advocates for greater collaboration in life sciences R&D, has announced a Data Governance Community of Interest (CoI) to help companies improve data-sharing infrastructure and accelerate R&D innovation
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A round-up of the latest cooling technologies for scientists using HPC to support their research.
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With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
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Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
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The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
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Simulation software is helping accelerate battery development, writes Gemma Church
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Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for
