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Research & Development
Generating Realistic 3D CT Scans from Text Descriptions
TLDR: CTFlow is a new AI model that generates high-resolution 3D CT scans from clinical text reports. It treats CT volumes like videos, using...
Research & Development
Language Models Learn to Think and Refine on the Fly
TLDR: This paper introduces ProActive Self-Refinement (PASR), a new method that allows large language models (LLMs) to refine their responses *during* the generation process,...
Research & Development
SecFSM: Enhancing Verilog Code Security for Chip Designs with Knowledge-Guided AI
TLDR: SecFSM is a novel method that guides Large Language Models (LLMs) in generating more secure Verilog code for Finite State Machines (FSMs) in...
Research & Development
Unsupervised Anomaly Detection: Balancing Local and Global Patterns
TLDR: PRADOT is a novel unsupervised anomaly detection method that learns local and global 'prototypes' (representations of normal data) using optimal transport. It introduces...
Research & Development
Automated Dental Structure Mapping in CBCT Scans for Enhanced Patient Care
TLDR: A research team developed a two-phase automated deep learning method using MONAI Auto3DSeg and SegResNet to accurately segment dental and maxillofacial structures from...
Research & Development
SL-ACC: Enhancing Split Learning with Adaptive Data Compression
TLDR: SL-ACC is a novel framework for Split Learning that significantly reduces communication overhead by adaptively compressing 'smashed data'. It uses Adaptive Channel Importance...