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, ...

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

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

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

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

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

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.

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

Recently, Zhejiang Hi Convenience Network Technology Co., Ltd. applied for a patent titled "Vending Machine Product Recognition System Based on Visual AI," which has attracted industry attention. This ...