Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Uganda's national statistics body is moving to formalise its collaboration with cultural institutions as part of a broader strategy to improve data collection, quality and use at the community level.

The special educational needs and disabilities (SEND) system is in crisis and, as the government has acknowledged in its recent white paper, needs to change.1 The number of children receiving the more ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

The best-performing model was additionally validated using a temporal external dataset including 309 LT cases from February 2020 to August 2022, and an independent external dataset extracted from the ...

Background Alcohol use disorder and treatment-resistant depression (TRD) often co-occur, presenting a major clinical challenge with limited effective treatments. However, ketamine produces rapid ...

Abstract: Diffusion models (DMs) have demonstrated exceptional generative capabilities across various domains, including image, video, and so on. A key factor contributing to their effectiveness is ...

Each robot employs multiple cameras to perceive its surrounding environment, matching those visual inputs against Niantic ...

UK accountancy M&A has moved well beyond “a busy year for deals.” We are now in a market where acquisition has become a repeatable strategy, funded by ...

Abstract: The modeling and prediction of time series data have become pivotal in data science and machine learning. Deep learning architectures, particularly Long Short-Term Memory (LSTM) networks, ...