The best research needs ideas from a wider range of people and publications, writes Anita Schjøll Brede
A team of academic researchers and industrial experts are concluding a successful three-year research collaboration which has tackled the challenges of producing new software for high-performance AI and other data-intensive applications
UK-based driving simulation company, rFpro, has launched a commercial platform to train and develop autonomous vehicles using simulation
At last week’s Nvidia GTC conference the company announced three new products aimed squarely at the datacentre and AI markets
Iris.ai, an artificial intelligence tool which helps researchers find relevant scientific papers and journals, today announced the launch of version 4.0
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
Intellegens, a new company spun out of the University of Cambridge to develop and commercialise novel artificial intelligence (AI) software, has received funding from Cambridge Enterprise and local angel investor Graham Snudden
Cray has announced the Company has joined the Big Data Center (BDC) at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC)
Some 99 drafts of scientific papers have been generated so far by a manuscript writer launched three weeks ago, according to the electronic lab notebook company sciNote
At the SC17 conference, held this week in Denver Colorado, Nvidia announced that it has begun optimising applications for HPC and visualisation of HPC workflows in addition to partnerships with all major cloud providers.
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