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Perceiver IO

Perceiver IO is a DeepMind architecture designed to handle many kinds of data by mapping large input arrays through a compact latent array and then producing flexible output arrays. Its global attention approach lets it scale to large inputs and outputs while generalizing across modalities and task formats.
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Released: July 30, 2021

Overview

Perceiver IO is DeepMind’s modality-general architecture for mapping arbitrary input arrays to arbitrary output arrays at scale.

About Google DeepMind

AI research lab within Google developing frontier models, scientific AI systems, reinforcement learning methods, and products that support Google services and research.

Industry: Artificial Intelligence
Company Size: 6000
Location: London, England, GB
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Last updated: June 2, 2026
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