FLUIDON, a provider of simulation and analysis of fluid power and mechatronic systems, has announced the release of the new version 3.10 of its simulation environment DSHplus
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Microway, a leading provider of fully integrated and validated computational clusters, servers, and workstations for AI and HPC, announces the appointment of Lorne Wilson as Chief Operating Officer
ThinkParQ, the company behind the award-winning parallel file system BeeGFS, announces its global partnership with NetApp
GRC (Green Revolution Cooling), a provider of single-phase immersion cooling for data centres, has announced its joint project with Nvidia to help power a GPU-intensive computing subsystem for the Texas Advanced Computing Center’s (TACC) Frontera Supercomputer
The WIRB-Copernicus Group’s (WCG) Clinical Services Division introduces Velos eResearch eXpress, an out-of-the-box, cloud-based solution that enables clinical research sites to centralize and manage their research activities on a single, automated technology platform
Xilinx, a provider of adaptive and intelligent computing technology, has announced the expansion of its 16 nanometer (nm) Virtex UltraScale+ family to now include the world's largest FPGA — the Virtex UltraScale+ VU19P. With 35 billion transistors, the VU19P provides the highest logic density and I/O count on a single device ever built, enabling emulation and prototyping of tomorrow's most advanced ASIC and SoC technologies, as well as test, measurement, compute, networking, aerospace and defence-related applications.
MSC Software, a provider of information technologies has been selected by Airbus Group, a leading aerospace manufacturer, as part of their digital transformation, to reduce development lead time by implementing an End-to-End materials management platform, MaterialCenter. Airbus intends to provide access to a one single material raw data database for Airbus Group and across its divisions.
Available from directly within ANSYS engineering simulation software, ANSYS Cloud is helping organisations run high-fidelity simulations, shortening development cycles and increasing time to market
Certara, a provider of model-informed drug development and decision support software, has announced the launch of BaseCase Data Manager, which allows clients to build interactive, data-driven mobile tools using real-world data sources, such as healthcare claims, costs, quality, outcomes, and population data.
Certara, a provider of global model-informed drug development software, has announced the launch of version 19.6 of D360, its scientific informatics platform for drug discovery and development. Designed to meet the scientific researcher’s need to quickly access, understand and share data, the D360 platform is delivered through its toolkits – small molecule discovery, biologics discovery, and pre-clinical translation – each tailored to meet specific research goals. This latest version of D360 takes its name from its release date; it is the 2019 mid-year release.
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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.
