AI
Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking
Researchers have developed an AI framework called AdaPT that enables humanoid robots to learn profes...
AI
Structured Affinity for Unsupervised Visual Class-Incremental Memory in Deep Artificial Immune Networks
Researchers have developed a new approach to artificial immune networks (AINs) that can learn from i...
AI
Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection
Researchers have developed a new approach to optimizing the performance of large language models (LL...
AI
A Standardized Framework for Machine Learning in Power System Protection
Researchers have proposed a standardized framework for evaluating the performance of machine learnin...
AI
Multi-Method Causal Evidence Synthesis: Ranking Candidate Drivers by Convergent Cross-Method Evidence from Observational Data
Researchers have developed a framework called Multi-Method Causal Evidence Synth...
AI
Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference
Researchers have developed Daedalus-150M, a hybrid AI model that combines convol...
AI
From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation
Researchers conducted a study on how autonomous coding agents interact with tech...
AI
Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
Researchers have developed a new method called Prompt-Conditioned Channel Attent...