AI
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Researchers have developed TokenPowerSandbox, an evidence-gated workflow for energy-aware large lang...
AI
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Researchers have questioned the effectiveness of quantum machine learning (QML) in network intrusion...
AI
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
Researchers evaluated the effectiveness of large language models (LLMs) as data quality annotators. ...
AI
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
Researchers have evaluated the safety of four large language models (LLMs) using emoji-augmented pro...
AI
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Researchers have been exploring the parallels between medicine and artificial in...
AI
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
A recent review of machine learning techniques used in autism research has ident...
AI
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Researchers have proposed a method for ensuring accurate segmentation of multipl...
AI
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
Researchers have developed GigaBrain-WBC-0.5, a Behavior World Model for humanoi...