This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Remote sensing images often suffer from substantial data loss due to factors such as thick cloud cover and sensor limitations. Existing methods for imputing missing values in remote sensing images ...

Tech & Science AI image generation: Warning is issued over data theft and privacy Essentially, when you upload a photo to an AI art generator, you’re giving away your biometric data (your face).

The spatial-image data structure is implemented with Xarray, a library for N-D labeled arrays and datasets in Python. The Xarray library is well-tested, relatively mature, and integrates well with ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

A classical way to image nanoscale structures in cells is with high-powered, expensive super-resolution microscopes. As an alternative, MIT researchers have developed a way to expand tissue before ...

A new generation of CMOS image sensors can exploit all the image data to perceive a scene, understand the situation, and intervene by embedding artificial intelligence (AI) in the sensor. CEA-Leti ...

AI image training dataset found to include child sexual abuse imagery Stanford researchers discovered LAION-5B, used by Stable Diffusion, included thousands of links to CSAM.

Traditional steganography methods often hide secret data by establishing a mapping relationship between secret data and a cover image or directly in a noisy area, but has a low embedding capacity.