Smart compression of noisy data

22-Dec-2022

Experimental data is often not only highly dimensional, but also noisy and full of artefacts. This makes it difficult to interpret the data. Now a team at HZB has designed software that uses self-learning neural networks to compress the data in a smart way and reconstruct a low-noise version in ...

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KATRIN experiment with new world record for precision measurements

16-Feb-2022

The international KArlsruhe TRItium Neutrino Experiment (KATRIN), located at Karlsruhe Institute of Technology (KIT), has broken an important "barrier" in neutrino physics which is relevant for both particle physics and cosmology. Based on data published in the prestigious journal Nature Physics, ...

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Start-up supports companies develop the ideal battery to meet future needs

08-Nov-2021

Electrochemical energy storage systems and fuel cell technologies hold two of the keys to making a successful transition to alternative sources of energy. Batalyse GmbH, a spin-off of the Fraunhofer Institute for Chemical Technology ICT, is using modular software packages to automate capturing, ...

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11-May-2021

Software plays a key role in modern science. Experiments that produce large amounts of data generally need substantial software-based analysis to extract understanding. Simulation-based research in particular yields results based solely on the computer-based generation of data and its subsequent ...

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High-throughput X-ray diffraction measurements generate huge amounts of data - The agent renders them usable more quickly

21-Apr-2021

Artificial intelligence (AI) can analyse large amounts of data, such as those generated when analysing the properties of potential new materials, faster than humans. However, such systems often tend to make definitive decisions even in the face of uncertainty; they overestimate themselves. An ...

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08-Jan-2021

In the digital age, data traffic is growing at an exponential rate. The demands on computing power for applications in artificial intelligence such as pattern and speech recognition in particular, or for self-driving vehicles, often exceeds the capacities of conventional computer processors. ...

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Bringing academia and business together to solve global challenges

25-Sep-2019

A formal partnership has been agreed between the University of Bristol and analytical instrumentation provider Malvern Panalytical. The Memorandum of Understanding formalizes the organizations’ relationship and focuses on mutual areas of interest and collaboration, including data analytics, ...

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27-Aug-2019

Modern sensor technology can already collect an extensive range of data from machines and equipment. Analyzing these data can expose anomalies between planned and actual production in order to support optimization purposes. However, data storage and analysis still tend to be decentralized and ...

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09-Apr-2019

In the context of a project funded by the Austrian Science Fund FWF, a research group from the St. Pölten University of Applied Sciences has developed a versatile framework for data visualisation that permits easy integration of expert knowledge. Processing large amounts of data is one of the ...

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The EU research project EDCMET is investigating the effect of endocrine disruptors on metabolism

28-Jan-2019

January 2019 saw the launch of the EU research project EDCMET, in which scientists from the German Federal Institute for Risk Assessment (BfR) are also involved. EDCMET stands for "Metabolic effects of Endocrine Disrupting Chemicals: novel testing METhods and adverse outcome path-ways" and is ...

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