The Numerical Algorithms Group (NAG) has added new numerical functionality to its numerical library for C and C++ programmers
The NAG Library has been extended with additional algorithms engineered for efficiency on the current generation of computer systems
Numerical Algorithms Group (NAG) has released a new NAG Library for SMP and Multicore, which will help scientists to make better use of the processing power of multicore computer systems
NAG has released v22 of its NAG Toolbox for Matlab, featuring 1,415 rigrously-tested numerical routines for use by scientists seeking a broad range of mathematical and statistical functionality
Release 5.2, the latest version of IRIS Explorer from NAG, is now available on the Mac OS X platform. IRIS Explorer is an advanced visualisation application development environment and is one of the first modular, multi-purpose visualisation environments
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
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.
