At Smartlab Exchange 2014, IDBS and Osthus have announced a strategic partnership. The new alliance will provide end-users with improved R&D efficiency and workflow support across all of IDBS current products including its E-WorkBook Suite
LabAnswer, a provider of laboratory informatics consultancies, has announced the formation of a new position, Director of R&D Strategy and has named John F. Conway to the position
Dassault SystÃ¨mes has announced a definitive merger agreement to acquire Accelrys
LSI Corporation has announced its membership in the Open Compute Project (OCP) and is in the process of contributing two storage infrastructure reference designs to the OCP global community.
New channel partners support the expansion of solidThinking Inspire and solidThinking evolve usage worldwide
NanoKTN a knowledge-based network for Micro and Nanotechnologies, has announced its support for the first UK Thermoelectric Network - Tempest
Lenovo and IBM have entered into a definitive agreement in which Lenovo plans to acquire IBMs x86 server business.
IBM has announced new Watson services delivered through the cloud
A Europe-wide project to help scientists make better use of their data is entering its final year. Laurence Field looks at the lessons
Altair is to expand its Hyperworks software suite with EMSS's FEKO electromagnetic solver
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