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

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, ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Lisa Jäckel, Jonas Baumann, Carole Baumann, Jennifer Herrmann, and Mario Fritz: Automated Detection of Abnormalities in Zebrafish Development ...

Ecologists are increasingly tapping into AI to assist conservation, but many are grappling with how to use these ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...

Singapore's Defence Science and Technology Agency (DSTA) has partnered with the Republic of Singapore Navy (RSN) to develop a ...

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Published on 24 September in Nature Immunology, the researchers suggest that fibroblasts show potential as universal drug targets due to their involvement in multiple diseases across a range of ...

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