Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry (MS) enables specific and accurate quantification of proteins with ...

It is well-known that Artificial Intelligence (AI), and in particular Machine Learning (ML), is not effective without good data preparation, as also pointed out by the recent wave of data-centric AI.

The study of plant-environment interactions is a multidisciplinary research field. With the emergence of quantitative large-scale and high-throughput techniques, amount and dimensionality of ...

A new era of data is upon us. The technology industry generally and the data business specifically are in a state of transition. Even our language reflects that. For example, we rarely use the phrase ...

Objective To investigate the influence of demographic and socioeconomic factors on the COVID-19 case-fatality rate (CFR) globally. Design Publicly available register-based ecological study. Setting ...

Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact ...

The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data. However, for a majority of scientists ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...