Current 3D anomaly detection techniques often prove insufficient for noisy industrial scans. In a new study, researchers from Shibaura Institute of Technology, Japan, and FPT University, Vietnam, have developed Vote3D-AD as an innovative solution. The single-pass framework trains exclusively on defect-free data and utilizes the Varied Defect Synthesis pseudo-anomaly generator and a vote-and-cluster architecture to outperform state-of-the-art alternatives on various benchmarks. It is expected to further streamline inspection pipelines.

HSE researchers evaluated the accuracy of technology forecasts in the transportation sector over the past 50 years and found that the average accuracy rate does not exceed 25%, with the lowest accuracy observed in aviation and rail transport. According to the scientists, this is due to limitations of the forecasting method and the inherent complexities of the sector. The study findings have been published in Technological Forecasting and Social Change.