This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...
LinkGraph’s Breakthrough AI Methodology New York, United States – December 24, 2025 / LinkGraph / LinkGraph has announced a groundbreaking advancement in the field of search engine optimization (SEO) ...
A Nigerian engineer is pioneering privacy-safe AI-driven sensing systems for smart spaces, focusing on human activity ...
Abstract: The graph-based multiview clustering has gained significant attention due to its effectiveness in representing complex relationships among multiview data for enhanced clustering. Among the ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
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Exponential moving averages in deep learning explained
Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...
Shivik Labs is a deep-tech research and engineering unit dedicated to building foundational intelligence architectures.
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
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