Automation

In the realm of machine learning, the few-shot problem is a persistent challenge, particularly in fields like experimental science and medical research where data is often scarce. Traditional data-driven models struggle with overfitting and poor gene

In the vast, rugged landscapes of open-pit mines, ensuring slope stability is a critical yet challenging task. Traditional methods of monitoring slope parameters often fall short, grappling with inefficiencies and limited data coverage. However, a gr

In the heart of China’s energy sector, a revolution is underway, one that promises to redefine the future of coal mining. The Shendong Coal Group of China Energy Co., Ltd., based in Shenmu, has been at the forefront of this transformation, pioneering

In a groundbreaking development that could revolutionize the aerospace and energy sectors, researchers from Tsinghua University have successfully employed twin-wire electron beam manufacturing to create a promising high-temperature alloy. The study,

In the relentless pursuit of clean and sustainable energy, nuclear fusion stands as a beacon of hope, promising virtually limitless power with minimal environmental impact. Yet, the path to harnessing this power is fraught with technical challenges,

In the heart of Siberia, a groundbreaking technological process is poised to revolutionize the coal mining industry, promising enhanced safety, automation, and efficiency. The research, led by Dr. Cherkasov P.V. from the Federal Research Centre of Co

In the quest to bolster the wear resistance of magnesium alloys, a team of researchers led by Jie Li from the Institute of Advanced Wear & Corrosion Resistant and Functional Materials at Jinan University in Guangzhou, China, has uncovered a counterin

In a groundbreaking study that challenges conventional wisdom, researchers have discovered a counterintuitive approach to improving the fluidity of magnesium alloys in thin-section investment casting, a process critical for manufacturing precision co

In the rapidly evolving landscape of industrial automation, a groundbreaking study led by Xin Pan from the Faculty of Mechanical and Electrical Engineering at Kunming University of Science and Technology is set to revolutionize the way manipulators n

In a groundbreaking stride towards revolutionizing material science, researchers have harnessed the power of machine learning (ML) to accelerate the design and development of high-entropy alloys (HEAs), a class of materials with immense potential for