News R&D

News Research & Development

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TAPe+ML v2: How we make a single recognition model for any computer vision task

We are developing TAPe+ML v2, a recognition model that solves any computer vision task with the accuracy of SOTA models, but with a significantly lower number of parameters than the competitors, which have millions or even hundreds of millions of parameters.

06/29/2026

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We’ve reduced the cost of computer vision by a million times

This is not an advertisement, but just the facts. Although it looks like an advertisement, it’s just the facts.

05/19/2026

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TAPe+ML: A Universal Computer Vision Architecture That Replaces Patches and Raw Pixels

How Theory of Active Perception achieves 92% accuracy with 516K parameters and outperforms DINOv2 by 500x in video processing — without GPU

03/12/2026

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TAPe Reverse Video Search based on TAPe

We’re now testing TAPe RVS, a temporary prototype of very new TAPe reverse video search features that give you a new user experience: the ability to search for videos by video instead of text description.

07/05/2025

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TAPe Tackles Every Computer Vision Task More Effective Than Any Other Tech Out There

We discovered and developed TAPe, which models the operation of innate human perception mechanisms and mathematically describes the Language of Thought.

07/02/2025

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Theory of Active Perception (TAPe)

We have developed the Theory of Active Perception, TAPe, that describes the way the human brain perceives information.

06/30/2025

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