In recent years, Graph Machine Learning (GML) has emerged quietly in the FIELD of AI. It can often be seen in major AI top academic conferences, and relevant academic papers emerge endlessly. For example, at ICLR 2020, the academic summit held in April this year, 150 research papers were submitted on GML, about a third of which were accepted, or about 10% of all accepted papers — showing that GML has become an area of widespread interest.
From July 8th to 9th, at 19:00 every day, Tencent Big data Technology Salon “Angel Graph Calculation” will be held online for two consecutive days. Activity invited professor wang xuan institute of Beijing university, tencent information security experts, tencent cloud intelligent titanium technology experts, tencent Angel full stack machine learning platform technical experts, around the figure of machine learning and Angel platform, to share related to areas of technology research and practice experience, in-depth exchanges, explore the new trend of development of the figure of machine learning.
Angel: The world’s top AI open source project
Angel, Tencent’s full-stack machine learning platform, is a distributed computing platform based on parameter server architecture. It is committed to solving the problems of sparse data large-scale model training and large-scale graph data analysis. Its functions cover all stages of machine learning, including feature engineering, model training, hyperparameter adjustment and model service.
In December 2019, Angel successfully graduated from LF AI Foundation, which is the first open source project to graduate from LF AI Foundation in China. This means that Angel has been recognized by technical experts around the world as one of the top AI open source projects in the world.
Angel was also included in the “AI Open Source Contribution Award TOP 5” list in the “Millions of People learning AI” selection activity held by CSDN recently.
