Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
IBM Watson is a pretty big name in the AI world, and for good reason. It’s not just one tool, but more like a whole suite of ...
A new artificial intelligence tool can scan social media data to discover adverse events associated with consumer health products, according to a study published September 30 th in the open-access ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
Abstract: The aim of this research is to improve accuracy and efficiency with regard to product defect detection using a deep learning based hybrid model. It combines preprocessing, segmentation, ...
In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts. We generate realistic attack and benign examples, craft rule-based ...
Abstract: Detection, classification and identification of underwater objects are both complex and essential tasks for perception and navigation of Autonomous Underwater Vehicles (AUVs) and Remotely ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Accurately predicting individual responses to ...