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CoTop SAI: Breaking through in nuclear fusion, supporting multi-route fusion development

CoTop SAI: Breaking through in nuclear fusion, supporting multi-route fusion development 科伊思人工智能科技
2026-05-22
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In May 2026, COIOS (Hangzhou) Artificial Intelligence Technology Co., Ltd. announced significant technological progress in its physics-coupled ledger controllable nuclear fusion underlying design platform, built based on CoTop SAI super artificial intelligence and integrated algorithm clusters. COIOS is deeply rooted in the domestic technology sector, focusing on the core foundational technologies of the next-generation energy revolution. This technological breakthrough has significantly enhanced China’s foundational design capabilities in the field of controlled nuclear fusion.

In the global process of controlled nuclear fusion research, mainstream magnetic confine fusion routes such as tokamaks, stellarators, and FRC field inverse configurations have long developed independently. Traditional segmented design models easily lead to insufficient system coordination and difficulty in controlling cross-field deviations. At the same time, the lack of unified verification standards for various technical route engineering implementations is a common technical challenge restricting the commercialization of global fusion.

Relying on its self-developed SAI integrated algorithm cluster, COIOS physics-coupled master ledger platform has successfully connected four major magnetic confinement fusion routes, supporting multi-device link coupling design, multiphysics collaborative computing, and full-process quality control. The platform has outstanding technical advantages in core technical dimensions such as computing power efficiency, physical coupling depth, and cross-route adaptation, providing important technical support for the research and implementation of China’s multi-route fusion technology, bolstering steadily advance domestic controlled nuclear fusion energy technology.


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科伊思人工智能科技 科伊思是一个针对垂直专业领域的智能认知推理协作系统,可在各专业性领域起到基础性支撑、推动及加速作用,填补当前大语言模型在科学、工程、工业应用中的不足与缺失,并真正重塑各个垂直领域及行业,也为塑造新一代人工智能的发展提供全新范式。
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