VisionX recently designed and released a novel distributed AI framework consisting of Federated learning, Parallelism (Data and Model) and Transfer learning, on a decentralized DBC AI cloud. This technological breakthrough in the AI industrial field has been highly recognized from both of academia and industry, as our research paper was accepted by the 2019 International Conference on Image Analysis & Recognition (refer to the the details in the biweekly report).
Our work will be considered as an efficient and scalable AI framework by one of top three GPU providers in the world, as we are working out steps towards a monumental partnership. Distributed AI (DAI) incorporates swarm intelligence to various classes of technologies which address specific markets and problem solve by providing a distributed solution.
Practical applications of DAI include electronic commerce for trading strategies, routing in transport networks, scheduling, electronic power systems and networks in telecommunications. For example, in electronic commerce, the intuitive DAI system acquires knowledge from a large pool of financial data, digests the analysis and produces an output of financial trading rules.
AI in the manufacturing market is projected to reach $16 BN by 2025 according to a 2019 Global Market Insights, Inc. Report, driven by the swift and ever evolving impact and appropriation of Industry 4.0.
VisionX, industrial AI chain, is a cross-industry high-performance AI collaboration platform, is the first AI+Blockchain project the DeepBrain Chain Silicon Valley lab has incubate. It has the single biggest and quality image dataset, uses a Unique taxonomy algorithm to complete a cross-industry AI solution fit for all. VisionX uses product surface defect visual detection as a breaking point, to gradually branch off to machine arm grab and pick, preventative maintenance, intelligent speech, supply chain and other fields. In the future it will serve thousands of industries offering AI solutions and data worth millions.