While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
A ROUTINE EEG could soon change dementia diagnosis, as researchers show that artificial intelligence applied to EEG scans can ...
The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...
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