Combining the creativity of artificial intelligence with the rigor of formal specification methods and the power of formal ...

Abstract: In most time-dependent real world phenomena, the distribution of data changes through time. This effect poses challenges to the training of time series Machine Learning models and their ...

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: Accurate solar irradiance prediction is important in optimizing photovoltaic power generation, improving grid reliability, and promoting the integration of renewable energy. This study ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

The Army is creating a dedicated artificial intelligence and machine-learning career field for officers as it pushes to integrate AI more deeply into its operations. The new 49B specialty establishes ...

Copyright: © 2026 The Author(s). Published by Elsevier Ltd. We analyzed data from the J-Proof HF Registry, a nationwide prospective cohort encompassing 96 ...

1 Department of Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. 2 Department of Orthopedic Surgery, Affiliated Hospital of Youjiang Medical University ...