Abstract: Attributed graph clustering is of significance for an in-depth understanding of the intrinsic organization of complex networks. Recently, owing to the powerful learning capability of deep ...
Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Abstract: This study explores the influence of social media on health-related discourse amid the COVID-19 pandemic, focusing on Italian-language tweets posted on Twitter from March 2020 to December ...
Cybersecurity in 2026 rewards teams that look past the obvious. Attackers no longer depend on brute force; they depend on your blind spots, your shortcuts, and your lingering assumptions about how ...
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