One of the main challenges in curbing the spread of coronoavirus disease 2019 (COVID-19) is rooted in the limited technical capacities of current diagnostic testing platforms. ... Read more

The alarmingly sharp increase in type 1 diabetes mellitus incidence in recent years has been coupled with a marked rise in the development of closed-loop systems aimed at continuously monitoring blood glucose levels, predicting glucose behavior and delivering adjusted insulin doses. ... Read more

Molecular photoswitches are light-responsive molecules with potential applications in a broad range of systems with on-demand functionalities. ... Read more

Optical and dimensional limitations of images can be partially overcome today using signal enhancement technologies which typically rely on supervised, deep-learning methods. ... Read more

Searchable symmetric encryption with practical big-data performance and strong security Highlights ... Read more

Pulses are applied in various fields such as oil & gas exploration, detection (e.g. sonar, lidar and radar) and communication. ... Read more

Image sequences are used in various fields, including medical imaging and satellite/airborne imaging. The comparison between images taken at different conditions (e.g. ... Read more

Novel algorithms developed at the Weizmann Institute of Science for Content-Based Image Retrieval (CBIR) can enhance search engines by crowd-sourcing and improved clustering.Discovering visual categories among collection of images is a long standing challenge in computer vision, which limits imag ... Read more

Many imaging devices produce signals of unsatisfactory resolution (e.g. a photo from a cell-phone camera may have low spatial resolution or a video from a web camera may have both spatial and temporal low resolution). ... Read more

Bidirectional Similarity offers a new approach to summarization of visual data (images and video) based on optimization of well defined similarity measure. ... Read more