Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...

Abstract: Synthetic data offers a compelling solution to the challenges associated with acquiring high-quality medical data, which is often constrained by privacy concerns and limited accessibility.

AI is everywhere, and many businesses want to show they’re not being left behind. From tech giants like Zalando to smaller brands and startups, companies increasingly rely on AI to produce content.

“Prevention Is Better Than Cure” – The Dutch philosopher Desiderius Erasmus. In this project, we aim to develop an application that can help to detect the disease of poultry via poultry birds by deep ...

As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. If you would like to train this Drishti-Glaucoma Segmentation ...

With so much data stored on ephemeral mediums like hard drives and magnetic tape, what will remain of our civilization in the millennia to come? Thanks to an innovation from Microsoft researchers, the ...