Some 44 per cent of life science professionals are using or experimenting with AI and deep learning, while 94 per cent expect an increase in use of machine learning within two years
We are proud to announce that Lockheed Martin has selected VOLTA, Esteco’s collaborative engineering software platform, to advance multidisciplinary design optimisation (MDO) technologies as part of the EXPEDITE Program
For research and development (R&D) organisations, the rise of instrument and process automation is leading to a phenomenal increase in the amount, variety and complexity of scientific data that is gathered
sciNote, a free open source electronic lab notebook (ELN), has announced that it has incorporated artificial intelligence capabilities into its electronic lab notebook
After more than 150 issues, the print edition of Scientific Computing World has undergone a long-overdue revamp
Elsevier has announced it is donating its Unified Data Model (UDM) to The Pistoia Alliance, a global, not-for-profit alliance that works to lower barriers to innovation in life sciences research.
Researchers and students at Florida Institute of Technology will be able to benefit from a partnership with Siemens that will allow the university to offer students hands-on learning experiences to better equip them for future STEM careers
A survey carried out by Elsevier’s Reaxys team found that chemists may need to gain more experience with emerging technologies to help drive innovation and career progression within the field of chemistry
After 6 years of growth, Imanova has been acquired by Invicro to establish a unique imaging and data management company, providing comprehensive services in support of drug development and disease research
Certara, a specialist in model-informed drug development has announced that it has developed a report on viral kinetic (VK) modelling to accelerate research into drug-resistant strains of influenza
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