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Data Mining & Modeling

😸 WATCH: Napster Is an AI Company Now. Seriously.

A Computational Analysis of Women’s Suffrage in Historical Newspapers

Using 600,546 digitized newspaper pages to measure how suffrage coverage changed from 1890 to 1920 The post A Computational Analysis of Women’s Suffrage in Historical Newspapers appeared first on Towards Data Science.

OpenAI’s Pierre deal brings the AI coding fight to GitHub’s doorstep

OpenAI’s planned Pierre acquisition follows its unveiling of Pando, a new Git backend. With Cursor and Entire also entering GitHub’s territory, the AI coding race is expanding into the infrastructure where software gets…

How to Combine Contradictory Filters in DAX

Sometimes we need to calculate results based on contradictory filters. Without any action, these filters will lead to an empty result. Let's see how we can improve the data model to make it work. The post How to Combine…

Let Decision Models Guide Your Voice Assistant

GPT-Live does the talking. A decision model tracks what’s confirmed and picks what to ask next. The post Let Decision Models Guide Your Voice Assistant appeared first on Towards Data Science.

Beyond Classical: A Quantum Approach to Time-Series Prediction

Introducing CoQS-LSTM, a Coherent Quantum Long Short-Term Memory Architecture The post Beyond Classical: A Quantum Approach to Time-Series Prediction appeared first on Towards Data Science.

😾 Google will cut Search for schools without AI

NVIDIA Puts AI Agents on the Hunt for Aliens. Can They Tell What's Real?

NVIDIA is helping SETI use AI agents to operate radio telescopes and analyze signals from space in real time. But can the technology distinguish potential alien transmissions from ordinary radio interference?

OpenAI Faced Years of Security Warnings. Why Is It Hiring Outside Hackers Now?

OpenAI employees reportedly warned about security weaknesses for years. Now the company is partnering with hackers who previously accessed Anthropic's business systems. Can outside testing help resolve those concerns?

Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering

arXiv:2303.12212v3 Announce Type: replace-cross Abstract: Community detection is a significant challenge in analysing real graphs, including social, citation, biological, and many other networks. This article proposes…

Detecting Historical Turning Points in Italian Media: A Complex Systems Approach to a Diachronic News Corpus

arXiv:2606.14348v2 Announce Type: replace-cross Abstract: Introduction: The increasing availability of large-scale textual corpora has opened new possibilities for data-driven, quantitative approaches to historical…

RAP: Research Attention Prediction in Language Agents

arXiv:2609.10092v2 Announce Type: replace-cross Abstract: LLM agents increasingly support research planning and execution, where judgments about current and anticipated research activity inform decisions. Yet whether…

EvoOntology: A Self-Evolving Ontology Layer for Data Agents

arXiv:2609.15779v2 Announce Type: replace-cross Abstract: Data agents aim to fulfill natural-language instructions over heterogeneous data, including tables, files, and databases. However, data agents face a challenging…

Characterizing When Language Models Take Harmful Actions to Protect Their Assigned Goals

arXiv:2611.03374v1 Announce Type: cross Abstract: Recent language model (LM) safety failures have largely been studied as disparate phenomena. In agentic misalignment, a model blackmails an executive to avoid being…

Language Models Learn to Improve Language Models

arXiv:2610.23344v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development, offering a potential path toward recursive…

Cross-Prompt Reuse of Entity-Replacement Responses

arXiv:2611.00352v1 Announce Type: new Abstract: With model weights fixed, we measure how much of an entity-replacement response transfers between English factual questions, beyond whether answers change. We add the…

SWE-Opt: A Benchmark for Evaluating LLMs on Performance-Oriented Repository-Level Optimization

arXiv:2606.25530v2 Announce Type: replace-cross Abstract: Software performance optimization is a notoriously complex and manual task. Despite the growing use of Large Language Models (LLMs) for code refinement, we still…

Better Answers, Weaker Evidence Control: Evidence Bypass in On-Policy Distillation

arXiv:2611.01967v1 Announce Type: new Abstract: On-policy distillation (OPD) can improve answer accuracy while weakening responsiveness to supporting evidence. We investigate this separation in scientific-document…

ElectroChemLLM: A Multimodal LLM Pipeline for High-Fidelity Electrochemical Informatics

arXiv:2611.00638v1 Announce Type: new Abstract: Electrochemistry is central to solving many modern-day challenges, including energy storage systems for a sustainable future, and its advancement relies heavily on the…