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, ...

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

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

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

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 ...

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

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

ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate ...

In this Prime Venture Partners Podcast episode, we sit down with Prateek Jain, Principal Scientist & Director at Google DeepMind, for an unfiltered deep-dive into India’s once-in-a-generation chance ...

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 ...