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 explores the role of maintenance in ensuring HPC systems run at optimal performance
Robert Roe speaks with Dr Maria Girone, Chief Technology Officer at CERN openlab.
Sophia Ktori explores the use of informatics software in the first of two articles covering the use of laboratory informatics software in regulated industries
Robert Roe discusses the role of the Pistoia Alliance in creating the lab of the future with Pistoia’s Nick Lynch