Today’s laboratories are becoming increasingly complex, with ever more data being generated and captured. At the same time, regulatory oversight is stronger than ever and places new compliance burdens on everyday operations.
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.
Imagine a laboratory in the future where all devices and instruments communicate their status, activities and data with each other and with enterprise information systems. Data would be acquired without manual intervention.
Automotive radars are becoming standard equipment on vehicles, with several antenna architectures being used to cover the different safety functions in complex chassis environments and where the side effects become more significant on radar performance.
This whitepaper outlines how the collaboration of organizations across science-based industries and their leveraging of advanced technology will improve lab processes and productivity. Digitalization will accelerate scientific creativity, bringing better products to market faster. Together these trends will not just benefit science but enable better care for patients as well.
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