The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Multi-day fast-spectrum reactor experiments at the U.S. Department of Energy’s National Criticality Experiments Research Center generate modern benchmark data. The data supports Oklo’s ...

Abstract: The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual ...

Fitbit Labs is launching three new experimental features for select users. Google Gemini powers these features and allows users to simplify lab reports, decode their symptoms, and get alerts for any ...

The method could one day become a treatment for infertility A decade of further research needed, scientists say The process overcomes an obstacle that stymied previous attempts Significant safety ...

Artificial intelligence has dazzled the world with its ability to create pictures, words, and even music from scratch. But behind the magic lies a hidden cost. Training and running today’s most ...

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...