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Research & Development
Enhancing Physics-Informed Neural Networks for Better Extrapolation
TLDR: A new method improves Physics-Informed Neural Networks (PINNs) by combining transfer learning and adaptive activation functions. This approach significantly boosts PINNs' ability to...
Research & Development
Navigating Data Diversity: A Survey of Transformation Techniques for AI
TLDR: This research paper surveys various data transformation strategies designed to overcome data heterogeneity, particularly focusing on differences in data formats. It categorizes techniques...
Research & Development
Unlocking Advanced Reasoning in Large Language Models Through Small Model Guidance
TLDR: A new research paper introduces THINK LOGIT and THINK LOGIT-DPO, decoding-time techniques that enable large language models (LLMs) to perform complex, long chain-of-thought...
Research & Development
Mamba Snake: A New Approach to Unified Medical Image Segmentation
TLDR: Mamba Snake is a novel deep learning framework that uses state space modeling to improve unified medical image segmentation (UMIS). It addresses challenges...
Research & Development
Unpacking AI’s Impact on Electronic Health Records: A Survey of Deep Learning and Large Language Models
TLDR: This research paper provides a comprehensive survey of how deep learning and large language models (LLMs) are being used to model Electronic Health...
Research & Development
City-VLM: A New AI Model for Comprehensive Outdoor Scene Understanding
TLDR: City-VLM is a new large vision-language model designed for comprehensive outdoor scene understanding. It introduces SVM-City, the first dataset for multidomain outdoor perception,...