Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of ...

Securing network traffic within data centers is a critical and daunting challenge due to the increasing complexity and scale of modern public clouds. Micro-segmentation offers a promising solution by ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence solutions and strengthen decision-making capabilities using data.

Abstract: Several machine learning (ML) algorithms have been applied to predict path loss values, and various features have been proposed as input features in ML models. This study proposed two new ...

Abstract: The rapid expansion of email usage has been paralleled by a significant rise in spam, which not only clutters inboxes but also spreads malware and introduces serious security threats. While ...