Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

Probabilistic Graphical Models Meet Deep Learning for Semantic Segmentation: Mathematical connections and recent developments

Abstract: Semantic segmentation, also known as spatially dense image classification, plays a crucial role in image analysis, bridging the fields of image processing and machine learning. It has wide ...
IEEE

A Recent Survey of Vision Transformers for Medical Image Segmentation

Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
Wired

Using AI for Just 10 Minutes Might Make You Lazy and Dumb, Study Shows

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
Nature

Temporal knowledge graph reasoning using global and recent history information

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...