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Real time and high-precision optical flow estimation is crucial for analyzing dynamic scenes in computer vision. Although traditional methods are fundamental, they often encounter issues with computation and accuracy, especially when executed on edge devices. The emergence of deep learning has driven the development of this field, providing higher accuracy, but at the cost of sacrificing computati...
Recently, TRUMPF, a leading global provider of machine tools and laser technology solutions, released preliminary data for the 2023/24 fiscal year: compared to the previous fiscal year, sales decreased by about 4% year-on-year to 5.2 billion euros; The order amount decreased by 10% to 4.6 billion euros. The Tongkuai Group ended its 2023/24 fiscal year on June 30, 2024, with a decrease in both s...
In industrial production, cleaning is a crucial step. Traditional cleaning methods, such as mechanical cleaning and chemical cleaning, although can meet production needs to a certain extent, often have problems such as low flexibility and environmental pollution. With the advancement of technology, laser cleaning technology has emerged as a new favorite in the cleaning field due to its high effici...
The current deep neural network system (such as ChatGPT) can quickly improve energy efficiency by 100 times in training, and "future improvements will greatly increase by several orders of magnitude. Scientists from MIT and other institutions have demonstrated a new optical neural network training method that can crush state-of-the-art electronic microprocessors.Moreover, the computational density...
Liquid crystal elastomers are expected to be applied in displays, sensors, smart devices, and wearable devices.A team from POSTECH University in South Korea, led by Professor Su Seok Choi and Professor Seungmin Nam, has developed a new type of stretchable photonic device that can control the wavelength of light in various directions.This work was carried out by the Department of Electrical Enginee...