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intelligence

NeuroMesh completed a $5 million strategic round of financing to promote the development of embodied intelligence through a decentralized "collective brain."

Recently, NeuroMesh, focused on embodied intelligence, announced the completion of a $5 million strategic financing round, with a post-investment valuation of $50 million. This round of financing was jointly invested by Alpha Capital and Coinvestor Ventures.NeuroMesh is dedicated to providing edge intelligence solutions for robots and smart devices. Through its device-side intelligent stack, it enables robots to achieve real-time perception, planning, and execution without relying on the cloud. Meanwhile, the experiences gained by machines during learning will be synchronized to a decentralized "collective brain," achieving continuous evolution and shared learning through network effects.This model allows the learning outcomes among agents to be verifiable and accumulative, driving the entire network to become increasingly intelligent. NeuroMesh's goal is to build a truly native, verifiable, and shared autonomous intelligent world, making decentralized machine intelligence the infrastructure for the next generation of human-machine collaboration.It is reported that the funds from this round will be used to accelerate technology research and development, expand the team size, and further explore the implementation of applications in industrial automation, service robots, and other scenarios.

The Ministry of Industry and Information Technology issued the "Action Plan for Empowering the Integration of Industrial Internet and Artificial Intelligence."

The Ministry of Industry and Information Technology has issued the "Action Plan for Empowering the Integration of Industrial Internet and Artificial Intelligence." The goal is to significantly enhance the level of integration and empowerment of industrial internet and artificial intelligence by 2028. The scale of new industrial networks that meet the communication needs of high throughput, low latency, high reliability, and low jitter for artificial intelligence industrial applications will continue to expand. Key industries such as raw materials, equipment manufacturing, consumer goods, and electronic information will accelerate the deployment and application, promoting the transformation and upgrading of no less than 50,000 enterprises to new industrial networks.The system for gathering, governance, circulation, and sharing of industrial data will be continuously improved, creating a number of high-quality datasets in 20 key industries. Focusing on key links and typical scenarios of important industrial chains, a batch of intelligent solution providers will be cultivated to effectively promote the collaborative upgrading of large, medium, and small enterprises. Key enterprises, technical products, public services, and other resource elements will achieve efficient allocation.
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