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

These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...

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 ...

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 AI to assist conservation, but many are grappling with how to use these ...

Retinal scans, aided by artificial intelligence, may soon offer doctors a simple, non-invasive way to detect several medical conditions.

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

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 ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.