Scientific Computing World is hosting a virtual roundtable in February for research leaders, scientists and R&D experts in drug discovery, particularly those working with new modalities, such as RNA therapeutics, gene therapies, ADCs (Antibody Drug Conjugates) and protein degraders. Find out how to apply for one of the limited spaces

AI, with its ability to process and learn from vast amounts of data, is already revolutionising scientific computing. In life sciences, AI is being used to accelerate drug discovery, model protein folding, and personalised medicine. With this special series of year-round interviews and events, we delve into the latest breakthroughs in these areas, …

The power of scientific computing is changing our world. Breakthroughs is a unique, year-round series of interviews and events with the thought leaders spearheading that innovation across five distinct areas. These inspiring stories – and the case studies they reveal – will help translate technical benefits into tangible results for engineers, scientists and researchers, and help leaders ...

5 天之前 · As part of a series of articles based on a recent online roundtable event entitled ‘From research to manufacturing: Overcoming data challenges in the drug development cycle’, hosted by Scientific Computing World, we asked our panellists about how the shift to in silico experiments has changed the data landscape in drug development.

Scientific Computing World is the only global publication dedicated to the computing and information technology needs of scientists and engineers. The title serves ...

Computational science has progressed steadily over the past decade. Improvements in computing performance allow us to model much more complex chemical, biological, and materials systems, and to understand increasingly large quantities of data. But these advances require finesse, as well as power ...

The convergence of artificial intelligence (AI) and high-performance computing (HPC) promises to transform the scientific computing landscape, with its potential to enable research groups to tackle challenges that would otherwise have been beyond their capabilities. Over the past decade, we have begun to see AI penetrate nearly all industries and scientific disciplines, from the headline ...

In conclusion, the path to a sustainable supercomputing future lies in leveraging the strengths of both classical and quantum computers. Quantum computers, with their low energy consumption and exponential computational growth, offer a promising solution to the energy challenges faced by the supercomputing sector. By harnessing the power of quantum computing, we can accelerate our journey ...

Life science researchers are tasked with progressively complex simulations. This increasing complexity requires considerably more computational power, which is why some scientists are turning to the use of high-performance computing to accelerate their simulations. This explosion in the number of potential users and research topics is forcing HPC providers to re-think the way they offer HPC to ...

This White Paper from Hyperion Research demonstrates how HPC users can use the energy-efficient accelerated compute from Amazon Web Services (AWS) and NVIDIA to run more workloads, faster.