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Research & Development
Smart Grid Energy Optimization: How AI Models Learn Grid Physics for Faster Management
TLDR: Researchers have developed a new method for optimizing smart grid energy management using Reinforcement Learning (RL) combined with Physics-Informed Neural Networks (PINNs). By...
Research & Development
New AI Model, Ladder-base, Elevates Reasoning in Traditional Chinese Medicine
TLDR: Ladder-base, a new Large Language Model (LLM) for Traditional Chinese Medicine (TCM), utilizes Group Relative Policy Optimization (GRPO) to significantly improve reasoning and...
Research & Development
BenCao: An AI Assistant Bridging Modern Language Models with Traditional Chinese Medicine
TLDR: BenCao is a ChatGPT-based multimodal AI assistant for Traditional Chinese Medicine (TCM) that integrates structured knowledge, diagnostic data, and expert feedback through natural...
Research & Development
Balancing Performance and Reliability: How Model Merging Mitigates the Alignment Tax in LLMs
TLDR: The "alignment tax" in Large Language Models (LLMs) not only reduces task accuracy but also severely degrades calibration, making models overconfident. This paper...
Research & Development
Advancing Emotion Recognition from Brain Signals with a New Deep Learning Framework
TLDR: A new deep learning framework, DAMSDAN (Distribution-Aware Multi-Source Domain Adaptation Network), has been developed to improve EEG-based emotion recognition. It addresses challenges posed...
Research & Development
Optimizing AI for Video Surveillance: Balancing Performance, Privacy, and Energy Efficiency
TLDR: This research compares two federated learning approaches for violence detection: LoRA-tuned Vision-Language Models (VLMs) and personalized 3D Convolutional Neural Networks (CNN3D). Both achieve...