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Then, the seminar discusses a method for probabilistic multi-aircraft trajectory prediction in the near-terminal airspace, leaveraging the cutting-edge AI model and aviation domain knowledge. The ...
Machine learning model helps identify patients at risk of postpartum depression. ScienceDaily . Retrieved July 25, 2025 from www.sciencedaily.com / releases / 2025 / 05 / 250519131029.htm ...
A novel ML algorithm (named ‘AutMedAI’) capable of early autism spectrum disorder (ASD) detection with minimal background and medical information.
Artificial intelligence has the potential to improve food safety practices but it is not a magical solution that can solve all problems, according to ...
Because differential privacy limits how much the machine learning model can depend on one individual’s data, this prevents memorization. Unfortunately, it also limits the performance of the ...
In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...
Editor’s Note: The SCM thesis Procurement Control Tower: Proof of Concept Through Machine Learning and Natural Language Processing was authored by Bishwajit Kumar and Pablo Barros Gomez, and ...
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Machine Learning in Predictive Toxicology - MSNIn predictive toxicology, machine learning models are built from the analysis of databases such as ToxCast, ChEMBL, and PubChem, or data in the public domain and published literature. Image Credit ...
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