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Weathering the storm

Gemma Church finds out how simulation and modelling is unlocking long-term, accurate weather and climate predictions

Evolving AI

With the growth of AI and DL comes new opportunities for emerging applications, finds Robert Roe

Developing skills for HPC

Robert Roe takes a look at the training and skills development opportunities for scientists using HPC in their research

Rising renewables

Gemma Church examines how simulation and modelling aid the increasingly diverse renewable energy field

Connecting science

 Sophia Ktori considers how software integration helps ensure scientists work efficiently in the laboratory

Laboratory technology changes

Informatics experts share their views on the future of the laboratory and how things might change due to the added pressure of Covid-19

Changing CFD

Gemma Church investigates how CFD providers are lowering the barrier for simulation

Exascale energy production

The Barcelona Supercomputing Center is developing new methods for exascale programming and using this research to further develop critical applications for energy production

The initial 4 Cabinet Archer2 installation

Supporting UK HPC

UK scientists and researchers will soon receive a new supercomputing upgrade 'Archer2' that will act as one of the primary HPC resources available to UK researchers

Sea of data

Robert Roe explores the use of HPC storage technology in off-shore energy exploration

Exascale in Europe

Robert Roe looks at the development of exascale in Europe, funded through the European Commission, its member states and industry partners

Fugaku is named after an alternative name for Mount Fuji
Credit: 名古屋太郎 - 投稿者が撮影

Building the Fugaku supercomputer

Professor Satoshi Matsuoka, director of the RIKEN Center for Computational Science, explains the 10-year process behind the development of the machine

Summary

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

Data Analytics

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

Specifying and building the smart laboratory

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.

Document management

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

Laboratory informatics tools

This chapter will look at the four major laboratory informatics tools – laboratory information management systems (LIMS), electronic laboratory notebooks (ELNs), laboratory execution systems (LES) and scientific data management systems (SDMS) – their differences and how they relate to each other. Each of these systems functions at or around the ‘Information’ layer (see Figure 1) and typically serves to collate data and information about the laboratory’s operations

Instrumentation

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.

The smart laboratory

This chapter discusses what we mean by a ‘smart laboratory’ and its role in an integrated business. We also look at the development of computerised laboratory data and information management; the relationships between laboratory instruments and automation (data acquisition); laboratory informatics systems (information management); and higher-level enterprise systems and how they align with knowledge management initiatives

Dealing with Data

Informatics experts share their experiences of implementing new technologies and manging change in the modern laboratory

LIMS adapt to viral testing

Response to COVID-19 is helping to develop testing technology that will have far-reaching benefits beyond the global viral outbreak, finds Robert Roe

Increasing the flow

Sophia Ktori discusses the combination of drug discovery and cloud computing to rapidly select new candidate molecules in the fight against COVID-19 with researchers Christoph Gorgulla and Haribabu Arthanari

Designing the Future

Gemma Church investigates how modelling and simulation tools are used to design new components and systems

Looking at cancer

Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman

AI driven real-time diagnosis

Sophia Ktori discusses an autonomous AI platform for detecting diabetic retinopathy with Michael Abramoff, founder and executive chairman of IDx

EPEEC European programming

Robert Roe talks to Antonio Peña EPEEC, project coordinator and senior researcher for the Barcelona Supercomputing Center about progress on a European programming framework for HPC

Making the case for cloud

Robert Roe considers the latest cloud and SaaS technology, and the benefits it can provide to laboratories with today’s workflows and AI initiatives

 

Exascale efficiency

European researchers have developed a framework to boost the energy efficiency of CPU, GPU and FPGA resources, writes Robert Roe

 

AI accelerates drug development pipelines

For the potential for AI and machine learning methods in drug development to be realised, companies and organisations are forming partnerships to better understand and develop these technologies, writes 
Sophia Ktori

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