Editor's picks

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A recently published study by Karl Landsteiner University for Health Sciences demonstrated the use of artificial intelligence in brain tumour classification.

Sophia Ktori discusses the importance of integration and open systems in supporting laboratory automation

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Anca Maria Ciobanu discusses the use of machine learning to help treat rare diseases


Staff Scientist Daniele Filippetto working on the High Repetition-Rate Electron Scattering Apparatus. (Credit: Thor Swift/Berkeley Lab)

03 August 2022

Scientists at Berkley Lab are creating algorithms that control particle beams and lasers using a new machine-learning platform


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01 August 2022

PerkinElmer has announced its intention to divest its applied, food and enterprise businesses in a deal worth $2.45 billion

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27 July 2022

The US Department of Energy (DOE) awarded more than $3.6 million with a focus on broadening and diversifying the nuclear and particle physics research communities through research traineeships for undergraduates

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27 July 2022

Storage provider, Quobyte, has announced a new partnership with Digital Bedrock, an affordable, secure digital preservation service

Analysis & opinion

Analysis & opinion

18 May 2022

Professor Dieter Kranzlmüller of Leibniz Supercomputing Centre (LRZ) outlines the work of the facility

21 April 2022

Céline Richard explains what the Large Hadron Collider has taught us about the importance of open access research

Lloyd Colegrove

17 March 2022

Lloyd Colegrove highlights some experiences from 30 years of engagement in chemical manufacturing



25 May 2022

Robert Roe explores advances in CPU, accelerator and networking hardware that is being designed to support exascale.

Creating the technology stack for exascale has taken years of innovation beyond simple iterative improvement of technology. In many cases, new computing architectures, networking systems, accelerators and processors are being constructed and optimised to deliver efficient exascale computing.

07 March 2022

Sophia Ktori explores the role bioinformatics software plays in helping scientists to make sense of complex scientific data.

A key ongoing issue for organisations involved in drug discovery research is how to manage chemical and biological data in combination.

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11 February 2022

Six industry experts tell Tim Gillett about recent progress in the world of laboratory information management systems


The world’s leading weather-forecasting companies, usually process weather data four times a day, which, depending on the speed of execution, can take around two hours at a time.

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Automation, robotics and digital technologies are transforming laboratory processes in life sciences, R&D and manufacturing, and driving a new era in data-focused disease and drug discovery.

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The advent of technologies such as artificial intelligence (AI), machine learning (ML) and cloud-based platforms is revolutionising how we approach data-driven scientific research

Press releases

05 August 2022

The IntelliCAD Technology Consortium (ITC) has announced the release of IntelliCAD 11.0

04 August 2022

Leica Microsystems has released a new version of its AI-powered image analysis solution, Aivia. The new Aivia 11 features a new deep learning-based cell segmentation algorithm that offers advanced insight creation capabilities for all levels of users. 

01 August 2022

The Oak Ridge Leadership Computing Facility (OLCF), in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF) is accepting proposals for the 2022 Integrated Forecast System (IFS) Experimental Nature Run (NR) Data Hackathon

Tech Focus

A round-up of the latest products for scientists using networking technologies

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A round-up of the latest storage products and technology available for scientists using HPC

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A round-up of the latest server options that are available to scientists using HPC as a tool for research