PROBE benchmark exposes gaps in AI protein-function annotation
A 1,000-protein, five-organism benchmark found that leading open-source language models showed biological semantic alignment but achieved a best macro-F1 of ...
A 1,000-protein, five-organism benchmark found that leading open-source language models showed biological semantic alignment but achieved a best macro-F1 of ...
A deep-learning pipeline recognized phases and instruments in laparoscopic cholecystectomy videos with mean performance above 95% and generated structured procedural ...
A validated tutorial demonstrated 0.91 agreement between human and LLM thematic coding in a controlled analysis of 2,952 publicly available ...
A new review in PhotoniX Synergy details how machine learning, generative models, and large language models are transforming the design ...
A new conceptual study argues that AI-generated plausibility is being mistaken for validated knowledge in higher education, and calls for ...
A new formal framework proves that AI risk assessment capability is mathematically bounded by infrastructure sovereignty, showing that cloud models ...
Researchers propose a three-step framework—Ask, Audit, Apply—to guide clinicians in reasoning safely and accountably with AI-powered decision support tools.
A cross-sectional survey from University of Pittsburgh researchers examines how medical residents and faculty are using generative AI and warns ...
A new agent workflow grounds AI-generated acceptance tests in canonical execution and mutation testing, revealing that verification is the difference ...
A new AI-informed database of roughly 378,000 English word families shows that morphological complexity rises steadily through children's books and ...
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© 2025 Scienmag - Science Magazine