Editor's picks

Researchers at CEA-Leti have demonstrated how resistive-RAM (RRAM), or memristor, technology can be used to create intelligent systems for use in edge learning

A team of scientists including researchers from NASA, the University of Copenhagen and other international collaborators used deep learning to map trees and bushes in the drylands of West Africa and the southern Sahara desert.

The pandemic has defined the development of laboratory software and technologies, as collaboration and remote working tools become requirements to a productive laboratory.

News

26 February 2021

The Open Compute Project Foundation (OCP) has announced the formation of the OCP Future Technologies Initiative, a formal project to build a future-focused Community within OCP to serve as a platform to develop ideas and technologies three-to-five years into the future.

3D surface and bedrock morphology of the Matthes/Llewellyn divide in the Juneau Icefield

25 February 2021

The Juneau Icefield Research Program (JIRP) has reported that thinning of Alaska’s Taku Glacier has increased from an average rate of a half meter to two meters per year over the past two decades

23 February 2021

A team of researchers at Princeton Plasma Physics Laboratory (PPPL) are using Department of Energy supercomputers to advance our understanding of fusion energy. 

Analysis & opinion

05 February 2021

Wellcome Sanger Institute’s Julia Wilson tells Robert Roe about the research centre’s role and impact on the wider scientific community

25 January 2021

A competition from Atos and the STFC hopes to encourage the development of quantum algorithms in the UK and Ireland

18 January 2021

A team of scientists including researchers from NASA, the University of Copenhagen and other international collaborators used deep learning to map trees and bushes in the drylands of West Africa and the southern Sahara desert.

Features

29 January 2021

In this guide we have attempted to coalesce much of the information required in order to design and implement a smart laboratory or, at the very least, to begin the process of laboratory automation. While it may seem like a challenging prospect, the underlying principles are simple and focused on crafting a strategy that will enable more productivity and insight to be generated from scientific research

29 January 2021

Data analytics is becoming increasingly important as laboratories have to process and interpret the ever-increasing volumes of data that their systems generate

29 January 2021

This chapter looks at how to build a smart laboratory; what approaches to take; and how to deal with potential problems. Becoming ‘smart’ takes time, not only due to the level of investment required, but also because of the impact of change and the need to consider legacy requirements.

Resources

Press Releases