Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
🔍 Rethinking Unified Models: We identify two critical limitations in existing unified multi-person eyeblink detection models: (1) feature granularity conflict between face localization and eyeblink ...
Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
A high-severity security flaw has been disclosed in OpenClaw (formerly referred to as Clawdbot and Moltbot) that could allow remote code execution (RCE) through a crafted malicious link. The issue, ...
New Delhi: A team of Indian and US researchers has developed an artificial intelligence (AI)-based technique to detect diabetes without the traditional blood tests. The technique can detect whether a ...
Retinal imaging during ROP screening can predict bronchopulmonary dysplasia and pulmonary hypertension in preterm infants, enhancing early diagnosis and reducing invasive testing. A multimodal AI ...
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