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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

TOOL · arXiv cs.LG Română(RO) · 1d

Archimedean Copula Inference via Taylor-Mode AD

Researchers have developed a new JAX-native framework called \"acopula\" that can infer Archimedean copulas with exact parameter gradients and handle arbitrary censoring. This framework overcomes limitations of existing tools, which are often restricted to bivariate problems or lower dimensions. The system was demonstrated on large datasets, including ICU admissions and S&P 500 returns, showing significant speedups compared to existing implementations. AI

IMPACT Introduces a novel computational framework for statistical inference, potentially improving model accuracy and efficiency in complex data analysis.
- MIMIC-IV
- JAX
- S&P 500
- acopula
TOOL · arXiv cs.AI English(EN) · 4d

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

Researchers have developed M3, a system that uses conversational LLMs to simplify access and analysis of complex clinical databases like MIMIC-IV. M3 allows users to query the data using natural language, translating questions into SQL queries for execution. Evaluations showed high accuracy for models like Claude Sonnet 4 and the open-weights gpt-oss-20B, demonstrating the viability of local, privacy-preserving deployment for sensitive medical data. AI

IMPACT Enables easier access to sensitive clinical data for research, potentially accelerating medical discoveries.