Cavium has announced that its ThunderX2, second generation of Armv8-A SoC processors are available for general release.
Cavium has announced that its LiquidSecurity 140-2 Level 3 FIPS certified appliance, which enables seamless key backup and application scaling with AWS Cloud HSM FIPS 140-2 Level 3 service
Cavium, a provider of semiconductor products that enable secure and intelligent processing for enterprise, data centre, wired and wireless networking is partnering with IBM for next generation platforms by joining OpenCAPI, an initiative founded by IBM, Google, AMD and others
Cavium, a provider of semiconductor for enterprise, data centre, wired and wireless networking and the University of Michigan have announced a new partnership that aims to position U-M as a leader in data-intensive scientific research by creating a powerful Big Data computing cluster using dual socket servers powered by Cavium’s ThunderX ARMv8-A workload optimised processors
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.
