Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Researchers developed a scalable framework that predicts insulin resistance using wearable-device signals, routine blood biomarkers, and demographic data, with stronger performance when these data ...

Inside the diseased cell, the genes are in chaos. Some are receiving signals to overproduce a protein. Others are reducing activity to abnormal ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Can Canada own the AI industry it helped invent? A new report explores AI sovereignty and the roadmap to changing our ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Abstract: Malware classification is a critical part in the cyber-security. Traditional methodologies for the malware classification typically use static analysis and dynamic analysis to identify ...

Abstract: Spine CT image reconstruction and lesion classification are crucial in diagnosing spine disorders, supporting treatment through automated lesion detection. Leveraging advancements in machine ...

Learning a new language has always been exciting, but it can also feel intimidating. Many learners struggle with confidence, finding time to practice, or getting enough real‑world conversation ...