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University / Lab · Works with Huawei, MoXin Technology

Zhejiang University

浙江大学


Coverage3

Release · Oct 1, 2026 · as partner

MoXin Technology launches 4D world model MoWorld, debuting on-device via HarmonyOS app

MoXin Technology has released MoWorld, a native 4D world model, now shipping with the Huawei Mate 90 series through the HarmonyOS-exclusive app Touch Pet (摸小宠). Users upload a few pet photos and get a rotatable digital 4D pet with continuous motion.

The device-cloud pipeline uses cloud Ascend NPU diffusion to generate 3D Gaussian assets, then a roughly 600-million-parameter MoWorld-2.0-Flash model renders on the Kirin chip after quantization and operator adaptation. The company reports 3D/4D Gaussian rendering above 500 FPS and around 100 FPS on the phone, with inference cost about 30% of an equivalent imported GPU solution. It has also added physics properties such as gravity and elasticity.

Original sources (Chinese)

00后浙大博士把4D世界模型首次塞进手机!aiera

Strategy · Sep 20, 2026 · as partner

Transfar Group unveils AI strategy at 40th anniversary: opens 300+ industrial scenarios and pledges at least RMB 300M in first-year AI orders

At its 40th anniversary event, Transfar Group announced an AI strategy: it said it would open more than 300 industrial scenarios, form at least 30 co-creation projects, and commit at least $43M (RMB 300M) in first-year AI and digital orders. It also set out a dual-track 'biotech + AI' strategy, with Transfar Sci-Tech City opening scenarios in AI plus pharmaceuticals and medical devices, AI plus biomanufacturing, and AI plus agriculture.

The company signed research cooperation agreements with Zhejiang University, Insigma Group and Qingdao Institute of Bioenergy and Bioprocess Technology, CAS, and began scenario co-creation with Unitree Robotics, Neolix, SUPCON Technology and China Telecom, among others.

Original sources (Chinese)

传化集团40周年全面拥抱AI时代:开放全域产业场景,共创新40年leiphone

Research result · Sep 9, 2026 · as partner

Qunhe Tech and partners release three ECCV 2026 papers building infrastructure for Physical AI

Three ECCV 2026 papers from Manycore Tech Inc. (群核科技) and collaborators at NVIDIA, Intel, Adobe Research, Zhejiang University, Imperial College London and ETH Zurich describe infrastructure for physical AI. One introduces SPEAR, a high-fidelity embodied simulator whose communication mechanism enables high-fidelity and high-speed rendering. Another presents Syn-GRPO, a self-evolving reinforcement learning framework that uses online synthetic data to mitigate entropy collapse in multimodal large model reinforcement learning. The third examines spatial intelligence evaluation.

Original sources (Chinese)

群核科技联手英伟达、英特尔、浙大,三篇 ECCV 论文给物理 AI 造基础设施leiphone