A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects. [PDF]
Micromachines (Basel)Zhang Z.
europepmc +1 more source
Psychiatric Research and Clinical Practice, EarlyView.Objective This review examined the historical development of artificial intelligence (AI) in psychiatry from 1972 to 2025 and identified persistent barriers to clinical translation. Method The review used a structured source‐identification approach across PubMed/MEDLINE, Web of Science, Google Scholar, ScienceDirect, citation tracking, and targeted ...
Esteban Zavaleta‐Monestel +5 more
wiley +1 more source
Partners in plasticity: serotonergic glial interactions in brain circuit remodeling. [PDF]
Front NeurosciMiller VK, Broadie K.
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Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Bio-RegNet: A Meta-Homeostatic Bayesian Neural Network Framework Integrating Treg-Inspired Immunoregulation and Autophagic Optimization for Adaptive Community Detection and Stable Intelligence. [PDF]
Biomimetics (Basel)Ma Y, Qu D, Pyrozhenko M.
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Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning. [PDF]
Sci AdvBalwani A, Wang AQ, Najafi F, Choi H.
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Applied AI Letters, Volume 7, Issue 3, October 2026.This paper proposes a hybrid GNN‐RL system coupled with a cloud‐based automated experimentation system to optimise topology‐aware, multi‐objective, and scalable programs in the network. ABSTRACT Software‐Defined Networking (SDN) and Network Function Virtualisation (NFV) offer the benefit of dynamic control and flexible resources that can be managed ...
Muhammad Hasnain +2 more
wiley +1 more source
KAN-Former: a lightweight ECG model for real-time atrial fibrillation detection on wearable devices. [PDF]
Front Bioeng BiotechnolWang K, Wang G, Wu Z.
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