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Research & Development
MedSEBA: An AI System for Evidence-Based Medical Answers from Evolving Research
TLDR: MedSEBA is an AI-powered system that generates evidence-based answers to medical questions by dynamically retrieving and synthesizing information from PubMed studies. It uses...
Research & Development
LatentEdit: A New Approach to Consistent Image Editing with Diffusion Models
TLDR: LatentEdit is a novel image editing framework that uses diffusion models to modify images while preserving their original background and style. It achieves...
Research & Development
Detecting AI-Generated Text: A Look at Three Innovative Approaches
TLDR: This paper explores three systems for detecting AI-generated text in news articles and academic abstracts: a fine-tuned RoBERTa-base classifier, a traditional TF-IDF +...
Research & Development
Uncovering Hardware Weaknesses: How AI is Systematically Identifying Vulnerabilities
TLDR: LLM-HyPZ is a new AI-assisted framework that uses Large Language Models (LLMs) and data mining techniques to automatically identify, classify, and categorize hardware...
Research & Development
Safeguarding Sensitive Data in AI: Introducing DELTA for Privacy-Aware Feature Engineering
TLDR: DELTA is a two-phase AI framework designed for Privacy-Preserving Data Reprogramming (PPDR). It transforms raw data features to improve prediction accuracy for target...
Research & Development
Generative Active Learning with GFlowNets Boosts Drug Discovery Efficiency
TLDR: BALD-GFlowNet is a novel active learning framework that addresses the scalability limitations of traditional pool-based methods. It leverages Generative Flow Networks (GFlowNets) to...