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, ...

Abstract: Deep learning has enabled applications in medical diagnosis, education, and research. However, obtaining large-scale, high-quality data remains challenging due to privacy regulations and the ...

Satellite-based monitoring is crucial for forest conservation, utilizing optical technologies to provide essential data for ...

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

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 ...

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

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

Ecologists are increasingly tapping into artificial intelligence to help aid conservation, but many are grappling with how to ...

The Global AI in Oncology For Analytical Solutions Market is set to soar from USD 1.09 billion in 2024 to USD 8.86 billion by ...

Advancements in detecting pre-ignition in hydrogen engines through machine learning could enhance engine reliability and support the shift to clean transport.

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has developed an AI system that can automatically detect abnormalities in ...

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