Vol. 3 No. 1 (2025): Volume-III, Number-I, 2025
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Harnessing AI for Real-Time Analysis and Classification of Stem Cell Differentiation Pathways
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Real-time or near-real-time characterization of stem cell differentiation is critical for developmental biology, regenerative medicine, and cell-therapy manufacturing. Advances in single-cell technologies (time-lapse live imaging, live transcriptomics, lineage recording) and machine learning (autoencoders, variational autoencoders, graph and contrastive methods) enable automated detection, clas ... read more
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Quantum-Enhanced Graph Analytics: A Hybrid AI Framework for Seller Fraud Detection in Online Marketplaces
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Fraudulent seller networks in e-commerce platforms exploit relational patterns across buyers, products, and transactions to perpetrate large-scale scams that evade traditional detection systems. Graph Neural Networks (GNNs) provide end-to-end representation learning on graph structures, enabling detection of anomalous subgraphs indicative of fraud rings. Complementing GNNs, TinyML brings on-dev ... read more
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Robotics, Autonomous Vehicles, Data Science, and Quantum Neural Networks for Future Growth
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Robotics and autonomous vehicles (AVs) represent the vanguard of intelligent systems in manufacturing, logistics, and transportation. These domains are increasingly driven by advances in data science big data pipelines, real-time analytics, and machine learning and by emerging quantum neural networks (QNNs) that promise exponential feature spaces and novel optimization capabilities. This articl ... read more