Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...
SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...
Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...
Abstract: The aging U.S. wastewater infrastructure poses significant environmental and public health risks. While municipalities collect data for asset management, handling large datasets can ...
Abstract: Robust analysis of biosignals hinges on well-crafted processing pipelines, yet assembling them is still a slow, errorprone exercise, requiring both domain expertise and programming skills.
AutoMind is an advanced LLM agent framework that automates end-to-end machine learning pipelines by dynamically integrating domain expertise, strategic solution exploration, and adaptive code ...
This bottleneck prevents scalable, personalized content delivery and exacerbates information overload for the public. Objective: This study aimed to develop, deploy, and validate an automated tagging ...
Private equity (PE) firms face a persistent challenge: transforming fragmented portfolio company data into clear, actionable insights. Inconsistent reporting, regulatory demands, and the increasing ...
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