Scaling Alone Isn’t Enough: Toward Building Bridges Between AI Models

Collaboration among artificial intelligence models is essential to harness the decentralized strengths of large models. This integrative approach could accelerate the emergence of powerful, potentially general AI systems, bypassing the need for a single, resource-heavy model.

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Publication Details

Journal
Computer
Published
2025-09-24
DOI
https://doi.org/10.1109/mc.2025.3587873
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Scaling Alone Isn’t Enough: Toward Building Bridges Between AI Models

Morteza Moradi, Ali Borji, Mohammad Moradi
Computer
Explainable Artificial Intelligence (XAI)
article

Scaling Alone Isn’t Enough: Toward Building Bridges Between AI Models

Morteza Moradi, Ali Borji, Mohammad Moradi
article en

Abstract

Collaboration among artificial intelligence models is essential to harness the decentralized strengths of large models. This integrative approach could accelerate the emergence of powerful, potentially general AI systems, bypassing the need for a single, resource-heavy model.

ComputerVol. 58(10)
University of Catania (IT)
Openalex Percentile: Top 86%
Explainable Artificial Intelligence (XAI)
DOISourceOpenAlex
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Scaling Alone Isn’t Enough: Toward Building Bridges Between AI Models — Morteza Moradi, Ali Borji, et al. · Computer (2025) | TGRS Research Map | TGRS