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Shanghai AI Laboratory - Embodied Intelligence

Updates on Shanghai AI Laboratory - Embodied Intelligence's robotics products, models, research, funding, applications, and partnerships.

6 selected · 3 in the last 30 days

  1. Shanghai AI Laboratory - Embodied Intelligence ·

    Shanghai AI Laboratory and partners jointly launch materials multimodal large model "Caihua·MatVerse"

    Suzhou National Laboratory, Shanghai AI Laboratory, Shanghai Jiao Tong University and others jointly launched the "Caihua·MatVerse" materials multimodal large model and agent application system, which uses an "independent encoders plus unified decoder" architecture to align XRD spectra, electron microscope images and molecular structures into the same semantic space.

  2. Xbotics具身智能实验室 · 微信公众号 ·

    Shanghai AI Lab evaluates GPT-6-Astra's capability boundaries as a robot policy on EBench

    Shanghai AI Laboratory's embodied evaluation team used EBench to evaluate GPT-6-Astra as a robot policy directly, without task-specific post-training, across 26 tasks and 510 total executions. Its average task success rate of 46.7% ranked third, and its average task score of 0.654 ranked second; OpenWAM-α led with a 55.3% success rate.

  3. Shanghai AI Laboratory - Embodied Intelligence ·

    Shanghai AI Lab launches Shusheng SCP-Lab experimental equipment access and collaboration protocol

    Shanghai AI Lab has launched Shusheng SCP-Lab, an experimental equipment access and collaboration protocol based on the Scientific Context Protocol (SCP), providing research agents with a unified mechanism for device capability discovery, task interaction, and trusted feedback. It has been open-sourced.

  4. Shanghai AI Laboratory - Embodied Intelligence ·

    Shanghai AI Lab launches decision model Intern·Mingjue, outperforming Jev and releasing 0.8B, 2B, and 4B weights

    Shanghai AI Laboratory has launched the decision model Intern·Mingjue (Decision), which outperforms Jev and is available in 0.8B, 2B, and 4B parameter versions. In RTX 4090 tests, the 0.8B and 2B models had an average end-to-end latency of about 33 milliseconds and about 30 decisions per second, while the 4B model was 44.16 milliseconds and Jev was 109.70 milliseconds.

  5. Shanghai AI Laboratory - Embodied Intelligence ·

    2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum Held; Shanghai AI Lab Releases ShuSheng-S2 and ShuSheng World Model W0

    The 2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum was held on September 13 at the Shanghai Zhangjiang Science Hall, co-hosted by the Fourth Department of the Ministry of Science and Technology and Shanghai AI Lab. During the forum, Shanghai AI Lab launched the ShuSheng Scientific Multimodal Large Model S2 and the ShuSheng Physical World Model W0, opened the full-stack services of the ShuSheng·DuanYan Scientific Discovery Platform, and jointly released 20 major scientific questions with 14 institutions as well as multiple co-construction achievements of the "Climber Program."