While AI is a popular buzzword these days, it's worth noting that the Cambridge team's detector is not based on a large language model like ChatGPT. Instead, the model uses relatively simple machine ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Fossil bite mark analysis with AI shows early humans were prey for leopards, reshaping what we know about human evolution.

A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...

Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.