AI Learns to Read Code in Context to Predict Bugs Across Software Projects
Researchers have developed a domain-adversarial deep learning method that captures contextual code semantics and aligns data distributions across projects, improving ...
Researchers have developed a domain-adversarial deep learning method that captures contextual code semantics and aligns data distributions across projects, improving ...
Researchers at Hanoi University of Science and Technology have developed a fuzzy-set-based hesitation score that makes multi-task AI models robust ...
UC Riverside researchers used machine learning to screen more than 50 million compounds and identify odorants that safely repel honey ...
A new deep learning model called CWT-AuxNet converts wavelet-based time-frequency representations of uterine electrical recordings into individualized preterm birth risk ...
A new review maps how GIS, GPS, and remote sensing are transforming veterinary disease surveillance while exposing deep gaps in ...
Researchers at the Universitat Politècnica de Catalunya show that on-chip hardware performance counters combined with machine learning can detect microarchitectural ...
A new scoping review of 39 studies maps a decade of progress in using speech and voice as AI-driven biomarkers ...
Researchers at the University of Alicante have developed a two-stage detection system combining Shannon entropy analysis with deep learning to ...
A new Nature Reviews Clinical Oncology review maps how artificial intelligence, from auto-contouring to digital twins, is transforming radiation therapy ...
Researchers in Shanghai developed a time-dependent Cox regression model that predicts which prediabetic patients will develop chronic kidney disease, achieving ...
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© 2025 Scienmag - Science Magazine