Despite the buzz around artificial intelligence (AI), most industry insiders know that the use of machine learning (ML) in drug discovery is nothing new. For more than a decade, researchers have used computational techniques for many purposes, such as finding hits, modelling drug-protein interactions, and predicting reaction rates.
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The Exascale Computing Projects, Doug Kothe, discusses the lasting impact of exascale development
DiRAC has created a structured training programme with a user feedback loop to drive training and skills development across its entire user-base
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Despite the buzz around artificial intelligence (AI), most industry insiders know that the use of machine learning (ML) in drug discovery is nothing new. For more than a decade, researchers have used computational techniques for many purposes, such as finding hits, modelling drug-protein interactions, and predicting reaction rates.
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This white paper provides an account of three transformational projects undertaken in three intensely competitive industries.
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A Laboratory Information Management System or LIMS is a safe, efficient and affordable digital solution to laboratory management. Using a LIMS, you can collect data and manage your lab processes easily, giving you more time to focus on making new discoveries or ensuring quality products.
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Laboratory informatics tools have continued to converge around requirements for data management and movement within an organisation.
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A round-up of the latest technologies available to scientists and researchers using HPC
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A round-up of the latest processing and memory technologies
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Laboratory informatics tools have continued to converge around requirements for data management and movement within an organisation.
Credit: Larichshutterstock/Shutterstock
A round-up of the latest technologies available to scientists and researchers using HPC
Credit: Carlos Castilla/Shutterstock
A round-up of the latest processing and memory technologies
