The Cipher Brief

After the Intelligence Cycle: A New Schema for AI-Native Intelligence Analysis

Recent discussion of artificial intelligence in intelligence analysis has consistently framed the technology as a means of accelerating an existing process. The intelligence cycle (collection, ...
GitHub

ml4t-data

This library is one of six interconnected libraries supporting the machine learning for trading workflow described in Machine Learning for Trading: Together they cover data infrastructure, feature ...
IEEE

Why Do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
IEEE

Empirical 3-D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach

Abstract: This work proposes an empirical air-to-ground (A2G) propagation model specifically designed for cellular-connected unmanned aerial vehicles (UAVs). An in-depth aerial drive test was carried ...
ascopubs.org

Bayesian multimodal modeling with explainable artificial intelligence to predict response to GBE1-targeted metabolic therapy in colorectal cancer.

Flux-coupled network pharmacology to identify AR–HIF1A–mTOR tri-axis as a mechanistic vulnerability in genitourinary (GU) cancers. This is an ASCO Meeting Abstract from the 2026 ASCO Breakthrough.
Medical Xpress

With neuronal data, AI models predict grammar, meaning and context of spoken sentences

"This level of granularity is necessary for us to more completely understand how the brain generates speech and, ultimately, how we can develop technologies to restore it for individuals with ...