The emergence of Industry 5.0 marks a paradigm shift toward human-centric, sustainable, and resilient manufacturing. Unlike ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

Nowadays, brain MR (Magnetic Resonance) images are widely used by clinicians to examine the brain's anatomy to look into various pathological conditions like cerebrovascular incidents and ...

Studies comparing the diagnostic performance of deep learning models and health-care professionals based on medical imaging, for any disease, were included. We excluded studies that used medical ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition fail to ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, sadness, and disgust. In contrast, real news articles were more likely to elicit ...