UniVista unveils China’s first Agentic EDA stack as AI enters chip design
It introduces four expert-level AI agents spanning key verification stages including software and hardware simulation.
It introduces four expert-level AI agents spanning key verification stages including software and hardware simulation.

The model, unveiled Tuesday night, uses a new “Next” architecture with 125 billion total parameters but activates just 6 billion at a time.

The planned broad-based price increase suggests the company is officially moving away from its extreme low-cost positioning.

Qwen3.8 arrives as the AI industry moves from conversational models toward agentic systems that can independently complete multi-step tasks.

According to the memo, DingTalk will establish a core platform business unit, and consolidate the Wukong and MuleRun teams into a new Wukong organization.

“Opportunities in this era are unprecedented, but those who fail to advance will fall behind,” Zhou, former provincial science and technology chief, said.
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The company announced the milestone on May 26 at its AI payment ecosystem conference, describing the platform as the world’s first large-scale commercial AI-native payment infrastructure.

Selected projects can receive as much as 300,000 yuan ($44,242) each for one-year collaboration cycles, with strong-performing projects eligible for continued funding.
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The upgrade spans everything from semiconductors and cloud architecture to large language models and inference systems.
The company said the AI achieved a 99% accuracy rate in identifying merchant requests and resolved more than 95% of submitted issues.