Scientists from the Technical University of Munich (TUM), led by Professor Helmut Krcmar, have developed a new dynamic certification system for cloud services as part of the ‘Next Generation Certification’ (NGCert) consortium
Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years
We are proud to announce that Lockheed Martin has selected VOLTA, Esteco’s collaborative engineering software platform, to advance multidisciplinary design optimisation (MDO) technologies as part of the EXPEDITE Program
For research and development (R&D) organisations, the rise of instrument and process automation is leading to a phenomenal increase in the amount, variety and complexity of scientific data that is gathered
sciNote, a free open source electronic lab notebook (ELN), has announced that it has incorporated artificial intelligence capabilities into its electronic lab notebook
After more than 150 issues, the print edition of Scientific Computing World has undergone a long-overdue revamp
Elsevier has announced it is donating its Unified Data Model (UDM) to The Pistoia Alliance, a global, not-for-profit alliance that works to lower barriers to innovation in life sciences research.
Researchers and students at Florida Institute of Technology will be able to benefit from a partnership with Siemens that will allow the university to offer students hands-on learning experiences to better equip them for future STEM careers
A survey carried out by Elsevier’s Reaxys team found that chemists may need to gain more experience with emerging technologies to help drive innovation and career progression within the field of chemistry
After 6 years of growth, Imanova has been acquired by Invicro to establish a unique imaging and data management company, providing comprehensive services in support of drug development and disease research
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
