3 E Network Technology Group Limited (NASDAQ: MASK), a business-to-business information technology business solutions provider, committed to becoming a next-generation artificial intelligence infrastructure solutions provider, today officially outlined its foundational system architecture planned for Embodied AI and advanced robotics infrastructure.
“To advance the commercial implementation of this architecture,” the release went on to say, “the Company also announced the completion of high-precision hardware emulation in a pre-silicon environment for its custom Edge AI SoC designed for Aladdin healthcare robots.”
Under the current evolution of the robotics industry, as the parameter sizes of large models continue to expand, the deployment of Embodied AI requires balancing among computing power requirements, power consumption limits, and manufacturing costs.
An architecture relying entirely on local terminal computing is constrained by battery energy density and system thermal limits, making it difficult to simultaneously achieve high performance and cost efficiency for consumer applications. Conversely, purely cloud-based solutions must address household network latency fluctuations and global data privacy compliance standards.
3 E Network proposes that next-generation Embodied AI infrastructure should integrate traditional edge-cloud architectures. By constructing an “Edge-Cloud Continuum” that dynamically allocates computing and data-processing workloads, the system is designed to optimize resource allocation across edge and cloud environments.
MASK shares dipped five cents, or 5.2%, to 90 cents.
