Dean Mary Boyce has accepted an appointment to the Altair board of directors
WHITE PAPERSPONSORED CONTENT
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. In this white paper we discuss the process of the automotive radar integration.
Altair a developer of the HyperWorks computer-aided engineering software suite, has acquired Michigan-based TES International’s technology, intellectual property, and other assets
Dr Paul Stewart has joined Altair as VP, Automotive Aerodynamics Modelling and Visualisation
Altair has announced the addition of RAMDO, software developed by RAMDO Solutions, to the Altair Partner Alliance (APA)
Altair Engineering has announced the addition of twelve new partner products to the Altair Partner Alliance (APA) software offering in 2017 with more to come in 2018
Altair has announced the addition of TechX’s VSim to the Altair Partner Alliance (APA)’s software portfolio
Robert Roe looks at advances in automotive simulation
Altair and PTIS have begun a collaboration that will see the two companies use their respective expertise in the engineering software and packaging to transform the packaging industry
Gemma Church wonders if driverless cars and big data are quietly overhauling modelling and simulation.
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment