Robert Roe looks at use cases for cloud technology in HPC
Resources
21 May 2019
Today, an e-motor cannot be developed just by looking at the motor as an isolated unit; tight requirements concerning the integration into both the complete electric or hybrid drivetrain system and perceived quality must be met.
02 April 2019
We live in a time of unprecedented innovation. Product design cycles keep getting shorter, personalized and custom products are becoming the norm and external requirements are changing constantly.
16 October 2018
As data continues to increase exponentially, many organisations are turning to the latest advancements in digital technology to respond to the evolving needs of R&D scientists. For many organisations, a key challenge is managing the complexity and the number of systems in place that generate multiple types of complex data. This webinar will address some of the challenges faced by regulated and non-regulated labs as they move to cloud technology, the importance of implementing an extensible lab informatics platform solution and how digital technology has the potential to change how science is performed.
04 October 2018
Today’s quality landscape is incredibly complex with multiple data analysis, informatics, and enterprise systems. To ensure quality results, regulators across industries are focusing on data integrity, data security and consistent laboratory practices.
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Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
