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20+ AI Tools Every Startup Should Know in 2025

**Why AI Is a Startup’s Best Friend** Startups thrive on speed, agility, and innovation—but limited resources can slow growth. That’s where AI tools come in. From automating legal paperwork ...

arxiv.org/abs/2210.11643v2

All Politics is Local: Redistricting via Local Fairness

In this paper, we propose to use the concept of local fairness for auditing and ranking redistricting plans. Given a redistricting plan, a deviating group is a population-balanced contiguous region in which a majority of individuals are of the same i...

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arxiv.org/abs/2308.07414v2

Votemandering: Strategies and Fairness in Political Redistricting

Gerrymandering, the deliberate manipulation of electoral district boundaries for political advantage, is a persistent issue in U.S. redistricting cycles. This paper introduces and analyzes a new phenomenon, 'votemandering'- a strategic blend of gerry...

arxiv.org/abs/1907.04618v1

Lingua Custodia at WMT'19: Attempts to Control Terminology

This paper describes Lingua Custodia's submission to the WMT'19 news shared task for German-to-French on the topic of the EU elections. We report experiments on the adaptation of the terminology of a machine translation system to a specific topic, ai...

arxiv.org/abs/0902.1236v3

On Weakly von Neumann regular rings

In this paper, we define and study a particular case of von Neumann regular notion called a weak von Neumann regular ring. It shown that the polynomial ring $R[x]$ is weak von Neumann regular if and only if $R$ has exactly two idempotent elements....

arxiv.org/abs/1209.0124v1

Von Neumann Categories

In this paper, we introduce the notion of a von Neumann category, as a generalization and categorification of von Neumann algebra. A von Neumann category is a premonoidal category with compatible dagger structure which embeds as a double commutant in...

arxiv.org/abs/2506.04679v1

Normative Conflicts and Shallow AI Alignment

The progress of AI systems such as large language models (LLMs) raises increasingly pressing concerns about their safe deployment. This paper examines the value alignment problem for LLMs, arguing that current alignment strategies are fundamentally i...