VisionX provides a meta AI solution for visual abnormality inspection across industries. Currently there are 60 million employees working on visual inspection in China alone, which cost $350 billion USD a year. And the average accuracy rate in visual defect inspection is about 60-70 percent with traditional method. The current addressable market for visual abnormality inspection covers across a variety of industries, including but not limited to consumer electronics, mining, automobile, aviation, medical supply, steel, furniture, textiles, processed food and so forth. Our meta dataset for these industries currently contains over a million images to train the algorithm to detect abnormalities like scratches, dents, pin holes, fiber patterns, broken seals, or aging components. By using AI solution with the existing dataset, VisionX will decrease the inspection cost significantly, and increase the accuracy rate to 95 percent. The similar AI solutions will apply to other areas such as robotic pick-and-place, predictive maintenance, data curation, and eventually any AI need across industries.

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Ripple, through its developer outfit, has released the list of awardees of XRPL Grants Wave 6 which features top innovative projects across several Web3.0 sectors. The awardees were chosen after Wave 6 made a call for applications and received over 129 applications from all over the world. XRPL Grants Wave 6 Awardees Selected After a 
The post Ripple Injects $1.3M to Bootstrap Promising XRPL Projects appeared first on CoinGape.

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Ripple Injects $1.3M to Bootstrap Promising XRPL Projects