Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...
Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high ...
Discover research on memorization techniques for studying. Learn how repetition learning theory and spaced repetition boost ...
A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Dr. Mohana Rao Patibandla’s 51-case series highlights safer, minimally invasive parafascicular techniques for deep brain ...
Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.
Researchers identified a major decline in neural activity and retention when students used AI for writing. We need to empower ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
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