Wednesday - February 18, 2026

Computationally Efficient Framework for Sequence-to-Sequence Modeling and Reinforcement Learning With Deep History

2026-02-17

ALEXANDRIA, Virginia, Feb. 17 -- FIRST PRINCIPLES AI, INC., Auburn, Washington has been assigned a patent (No. US 12554995 B2, initially filed July 2, 2025) developed by Jason Michael Nett, Auburn, Washington, for "Computationally efficient framework for sequence-to-sequence modeling and reinforcement learning with deep history." . . .

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Computationally Efficient Framework for Sequence-to-Sequence Modeling and Reinforcement Learning With Deep History

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