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AI innovation tracked via trademarks, complementing patent data

By PulseAugur Editorial · [1 sources] ·

A new research note proposes using trademark data as a complementary metric to patents for understanding Artificial Intelligence (AI) innovation. The authors argue that AI trademarks can reveal how companies leverage AI technologies to develop new products and services, offering a timely and globally accessible data source across all economic sectors. The paper presents initial findings from an empirical study of Italian firms and discusses the potential applications of AI trademarks for analyzing AI development and diffusion. AI

IMPACT Provides a novel framework for tracking AI development and diffusion, potentially offering deeper insights into commercialization strategies.

RANK_REASON The cluster contains an academic paper discussing a new methodology for analyzing AI innovation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI innovation tracked via trademarks, complementing patent data

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The cluster contains an academic paper discussing a new methodology for analyzing AI innovation. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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74 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · C. Castaldi, F. Castellacci, A. Fronzetti Colladon, L. Segneri, F. Venturini ·

    Measuring AI innovation with trademark data

    arXiv:2607.18795v1 Announce Type: cross Abstract: Researchers, managers and policymakers are exploring different approaches and data sources to map the development and the diffusion of Artificial Intelligence (AI). In this research note, we illustrate the opportunities offered by…

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