Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These approaches can help scientists do more with less, building a stronger, data-driven foundation for decision making and guiding future research.
The university of Aberdeen in the UK has announced that it is launching a new master’s degree in Artificial Intelligence
NI, IBM and SparkCognition have announced a collaboration to increase the efficiency of industrial machinery using a combination of Industrial Internet of Things (IIOT) and machine learning
Robert Roe reports on developments in AI that are helping to shape the future of high performance computing technology at the International Supercomputing Conference
James Reinders is a parallel programming and HPC expert with more than 27 years’ experience working for Intel until his retirement in 2017. In this article Reinders gives his take on the use of roofline estimation as a tool for code optimisation in HPC
Sophia Ktori concludes her two-part series exploring the use of laboratory informatics software in regulated industries.
As storage technology adapts to changing HPC workloads, Robert Roe looks at the technologies that could help to enhance performance and accessibility of
storage in HPC
By using simulation software, road bike manufacturers can deliver higher performance products in less time and at a lower cost than previously achievable, as Keely Portway discovers