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Research & Development
Advancing Breast Cancer Imaging with AI-Synthesized MRI
TLDR: This research explores using conditional denoising diffusion probabilistic models (DDPMs) to create synthetic contrast-enhanced breast MRI images from non-contrast scans. The study introduces...
Research & Development
Med-CTX: A Multimodal AI Framework for Explainable Breast Cancer Ultrasound Analysis
TLDR: Med-CTX is a novel AI framework that combines breast ultrasound images with clinical radiology reports to provide highly accurate and explainable breast cancer...
Research & Development
Mastering Text Length: A New Prompt Engineering Method for LLMs
TLDR: A new research paper introduces CAPEL, a prompt-based, one-shot strategy that enables Large Language Models (LLMs) to generate text with exact length control....
Research & Development
Automating Technical Requirement Extraction for French Construction Projects
TLDR: This research integrates Building Information Modeling (BIM) with Natural Language Processing (NLP) to automate extracting requirements from unstructured French Building Technical Specification (BTS)...
Research & Development
Unpacking Pruning Strategies: A Deep Dive into One-Shot, Iterative, and Hybrid Model Compression
TLDR: This research systematically compares one-shot and iterative pruning strategies for neural network compression. It finds that one-shot pruning is better for lower compression...
Research & Development
Advancing Multi-Robot Collaboration with Symbolically-Guided Decision Transformers
TLDR: A novel framework called Symbolically-Guided Decision Transformer (SGDT) is introduced for deployable multi-robot collaboration. It combines a neuro-symbolic planner, which generates high-level symbolic...