Synthetic media—so-called deep fakes—have captured the imagination of some and struck
fear in others. Although they vary in their form and creation, deep fakes refer to text, image …

In recent years machine learning has made extensive progress in modeling many aspects of
mass spectrometry data. We brought together proteomics data generators, repository …

rules integrated into its technology. Additionally, users must carefully craft questions or
prompts, providing specific information about a clinical scenario and potential …

To fight against real-life image forgery, which commonly involves different types and
combined manipulations, we propose a unified deep neural architecture called ManTra-Net …

Efforts to improve the reproducibility and integrity of science are typically justified by a
narrative of crisis, according to which most published results are unreliable due to growing …

Publication in peer-reviewed journals is an essential step in the scientific process. However,
publication is not simply the reporting of facts arising from a straightforward analysis thereof …

Background Artificial intelligence (AI) tools, although beneficial for data collection and
analysis, can also facilitate scientific fraud. AI detectors can help resolve this problem, but …

The world is in the grips of mass formation—a dangerous, collective type of hypnosis—as
we bear witness to loneliness, free-floating anxiety, and fear giving way to censorship, loss …

Image editing techniques enable people to modify the content of an image without leaving
visual traces and thus may cause serious security risks. Hence the detection and localization …

In which journal a scientist publishes is considered one of the most crucial factors
determining their career. The underlying common assumption is that only the best scientists …