Abstract: Adversarial robustness becomes an essential concern in Deep Learning (DL)-based source code processing, as DL models are vulnerable to the deception by attackers. To address a new challenge ...
UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...
Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across ...
Abstract: Vision systems are nowadays based on smart cameras that are integrated into Industrial Control System (ICS) using Industrial Internet of Things (IIoT) principles. The information between ...
Our biggest and most powerful model—GLiNER XL 1B—is available exclusively via API. No GPU required, no model downloads, just instant access to state-of-the-art ...
Accurate and reliable segmentation of multiple sclerosis (MS) lesions from magnetic resonance imaging (MRI) is essential for diagnosis and monitoring disease progression. Therefore, a robust and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results