While studying abroad in China last fall, fourth-year William Kimani met a Chinese woman who said he was the “first dark-skinned person she had ever met.” The remark reminded Kimani of just how small ...

A native world model built from the ground up for embodied intelligence, Kairos 3.0-4B delivers exceptional ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

TrustInSoft Analyzer brings a unique level of guarantees thanks to the use of sound formal methods.”— Caroline ...

Domain bias caused by individual differences and device variations severely limits BCI's practical application, while existing methods struggle with ...

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

Abstract: The grand aim of having a single robot that can manipulate arbitrary objects in diverse settings is at odds with the paucity of robotics datasets. Acquiring and growing such datasets is ...

Humans and many other animals can innately recognize familiar objects in their surroundings, irrespective of the angle they are observed from, changes in lighting or other shifts in the surrounding ...

Tonight I’m going to work smarter and not harder and do one sweeping generalization of LSU athletic’s terrible, horrible, no good, very bad day across multiple sports. Let’s start from the most ...

Muslim narrative by elevating positive stories, fostering cooperation, and modeling a more inclusive vision of America.

Abstract: In hyperspectral cross-scene classification tasks, it is often challenging to obtain target domain samples during the training phase. Therefore, models need to be trained on one or multiple ...