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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...

When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators

Researchers evaluated the effectiveness of large language models (LLMs) as data quality annotators. ...

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...

What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems

Researchers have been exploring the parallels between medicine and artificial intelligence. A recent...

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...

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...

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...

Bidirectional representational alignment between biological and artificial neural networks

Researchers have found a way to improve the alignment between how artificial neu...