Adrian Giordani investigates the increasing use of carbon nanotubes to produce next-generation semi-conductor technologies
Intel has joined the race to develop driverless cars this week as the company has announced the acquisition of Mobileye for £15 billion
Barcelona Supercomputing Center (BSC) and Intel have renewed their collaboration research agreement at the Intel and BSC Exascale Laboratory in Barcelona until September 2017
The Optical Society (OSA) is pleased to announce that the Intel Silicon Photonics Solutions Group from Intel Corporation is the winner of the 2014 Paul F Forman Team Engineering Excellence Award.
Intel has introduced a set of versatile processors that promises to redefine the server, storage and networking infrastructure found in data centres
The Intel SSD Data Center S3500 Series, a high-performance 6 Gb/s SATA SSD with enterprise features, is now available from Silicon Mechanics
Intel has introduced the Atom S1200 product family, delivering what it says is the worlds first low-power, 64-bit server-class system-on-chip for high-density microservers
New series designed to address rigorous data centre demands
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