reinforcement learning

PD-TCN: Probabilistic Dynamic Model for High Concrete-Faced Rockfill Dam Settlement Prediction.

PD-TCN: Probabilistic Dynamic Model for High Concrete-Faced Rockfill Dam Settlement Prediction

Leave a Comment / Machine Learning, Engineering AI /

PD-TCN: Probabilistic Dynamic Model for High Concrete-Faced Rockfill Dam Settlement Prediction | AI Trend Blend AITrendBlend Machine Learning Civil Engineering AI About Civil Engineering AI · Advanced Engineering Informatics 74 (2026) · Hohai University · 20 min read PD-TCN: How Reinforcement Learning and Physics-Informed Constraints Finally Tamed the Unpredictable Settlement of the World’s Tallest Rockfill […]

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Class-Weighted DQN for Skin Cancer Classification.

Class-Weighted DQN for Skin Cancer Classification

Leave a Comment / Machine Learning, Computer Vision, Medical AI /

Class-Weighted DQN for Skin Cancer Classification | AI Trend Blend AITrendBlend Machine Learning Computer Vision Medical AI About Medical AI · Expert Systems With Applications 293 (2025) 128426 · 18 min read Teaching an AI to Care More About the Rarest Cancers: Class-Weighted DQN for Skin Cancer Classification Researchers from KTO Karatay University and Selcuk

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A visual representation of the EasyDistill toolkit revolutionizing knowledge distillation in large language models.

7 Revolutionary Ways EasyDistill is Changing LLM Knowledge Distillation (And Why You Should Care!)

1 Comment / Machine Learning /

Introduction: The Future of LLM Optimization Starts Here Artificial Intelligence (AI) has transformed how we interact with technology, especially through Large Language Models (LLMs) . These powerful systems have redefined natural language processing (NLP), enabling machines to understand and generate human-like text. However, as impressive as these models are, they come with significant challenges—high computational

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