Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two ...
A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan ...
A new agentic AI security multi-model defense system built by Microsoft's Autonomous Code Security team helped researchers find 16 new vulnerabilities across the Windows networking and authentication ...
To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...
As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...
T cells are central to antiviral immunity, contributing to viral clearance, long-term immune memory, and protection against reinfection. Over the past ...
Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that are commonplace, improbable, impossible or just plain nonsense. PROVIDENCE ...
Abstract: Single positive multi-label learning (SPML) aims to recognize multiple categories with limited supervision from one positive label in an image. With the emergence of pre-trained ...
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