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Beijing, China – The CEAI 2025 China Embodied AI Conference recently concluded in Beijing, marking a significant milestone in the burgeoning field of embodied intelligence. Amidst the discussions and demonstrations, one company stood out: DataCanvas, a leading AI infrastructure provider in China. DataCanvas captivated attendees with its comprehensive elastic computing power + development tools + intelligent computing cloud services strategy, directly addressing the core pain points faced by embodied AI companies in model training, algorithm iteration, and real-world deployment. This full-stack approach promises to accelerate the widespread adoption of affordable and accessible computing power within the embodied AI sector.

Embodied AI Enters Deep Water: End-to-End Capabilities are Key

Embodied AI represents a transformative direction in artificial intelligence, emphasizing the ability of intelligent agents to learn and evolve autonomously through interaction with their environment. This paradigm shift has implications for a wide range of cutting-edge applications, including service robots, industrial automation, autonomous driving, and smart wearable devices.

However, as the industry demands increasingly sophisticated capabilities in areas like multi-modal perception, real-time decision-making, and complex task generalization, traditional computing resources are proving to be fragmented, expensive, and inefficient, hindering the large-scale deployment of embodied AI solutions.

The ultimate goal of embodied AI is to achieve a ‘human-like’ perception and action loop, explained a DataCanvas technology leader at the conference. This requires not only powerful algorithm models but also efficient, elastic computing support and an end-to-end development toolchain. DataCanvas’s elastic computing product matrix is specifically designed to address this industry pain point.

Aladdin: Redefining Development Efficiency for Embodied AI

One of the highlights of DataCanvas’s presentation was the unveiling of Aladdin, a large model development plugin. This innovative tool promises to redefine development efficiency for embodied AI applications by streamlining the process of model creation, training, and deployment.

Conclusion:

DataCanvas’s presence at the CEAI 2025 China Embodied AI Conference underscores its commitment to driving innovation in the field. By providing a comprehensive suite of solutions that address the critical challenges of computing power, development tools, and cloud services, DataCanvas is poised to play a pivotal role in accelerating the adoption of embodied AI across various industries. As the field continues to evolve, DataCanvas’s full-stack approach offers a promising pathway towards realizing the full potential of embodied intelligence.

References:

  • Machine Heart (机器之心). (2024, April 2). 激活具身智能创新加速度,九章云极DataCanvas公司领航CEAI 2025中国具身智能大会 [DataCanvas Leads the Charge in Embodied AI at CEAI 2025, Accelerating Embodied Intelligence Innovation]. Retrieved from [Insert Original Article Link Here if available]


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