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Artificial neural networks

Spiking Neural Networks Offer Promising Solutions for Real-Time Time-Series Data Processing

Research conducted at Seoul National University of Science & Technology has found that Spiking Neural Networks (SNNs) can efficiently process time-series data by emulating biological neuronal dynamics. The study proposed a novel encoding method, Filtered Temporal-Population (FTP), which captures temporal and spatial correlations within data segments, making it suitable for

Antibiotics

Unleashing the Power of Receptor-Based Assay: Assessing the Feasibility of Enzyme-Linked Immunosorbent Assay on Large-Scale Antibiotic Monitoring

Researchers from Beijing Normal University have reported on the effectiveness of enzyme-linked immunosorbent assay (ELISA) in detecting antibiotics in aquatic environments. The study highlights the need for high spatiotemporal resolution monitoring to better cope with the risks associated with antibiotic detection. ELISA offers a cost-effective alternative to mass spectrometry (MS)