AI Scientific Frontier Conference 2019 – Program, Speakers, and Schedule
The AI Scientific Frontier Conference 2019, co‑hosted by the Chinese Academy of Sciences AI Alliance and Beijing Institute of Technology, gathers leading researchers to present cutting‑edge talks on AI theory, deep learning, computer vision, robotics, NLP, big data, and related applications, with detailed schedules, speaker bios, venue information, and registration details provided.
The AI Scientific Frontier Conference 2019, organized by the Chinese Academy of Sciences Artificial Intelligence Alliance Standard Group and the Computer Science Department of Beijing Institute of Technology, focuses on the mathematical foundations and applications of AI.
The conference features 31 invited talks covering topics such as anti‑fraud techniques in marketing risk control, mathematical models for GAN training, image restoration, large‑scale video recommendation, deep reinforcement learning, multimodal video analysis, knowledge representation, robotics perception, and many more.
Each session includes a title, abstract, and speaker biography, highlighting contributions from leading academics and industry experts from institutions such as Tencent Cloud, Microsoft Research, Baidu, Alibaba, JD.com, Carnegie Mellon University, and many universities worldwide.
Keynote and plenary sessions address AI theory, algorithmic advances, and real‑world deployments, while workshops and panels discuss challenges in data privacy, AI ethics, and future research directions.
The event takes place on April 11‑12, 2019 at the Central Teaching Building of Beijing Institute of Technology (Zhongguancun Campus). Detailed transportation instructions are provided for subway and bus routes.
Organizers and co‑organizers include the Chinese Academy of Sciences AI Alliance, Beijing Institute of Technology, and DataFun, a community dedicated to data intelligence sharing.
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Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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