The volume and complexity of life science R&D data has exploded. To be successful in this new paradigm, R&D organizations must harness the full power of their data to drive faster, smarter decision making. Learn how to take your R&D data to the next level with this step-by-step guide from Benchling
Image credit: B-th/Shutterstock.com
A round-up of the latest cooling technologies for scientists using HPC to support their research.
Credit: chayanuphol/Shutterstock
With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
Credit: Zapp2Photo/Shutterstock
Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
Credit: dotshock/Shutterstock
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
Credit: Comsol
Simulation software is helping accelerate battery development, writes Gemma Church
Credit: Omelchenko shutterstock
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
