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人工智能经纬论坛第【17】期讲座通知

报告人：Wengong Jin时间：2022/10/13 上午10:00主持人：周冰心博士AbstractMolecules and proteins are geometric objects, and their function relies on their structure (e.g., graph or 3D point cloud). The challenge of AI-driven molecular design includes prediction and generation. The prediction task (forward problem) aims to predict the property of a molecule/protein automatically based on its s...

2022-10-09

人工智能经纬论坛第【16】期讲座通知

报告人：Filip Tavernier时间：2022/09/29 下午4:00主持人：唐希源助理教授AbstractIn this talk, I will discuss the well-known trade-off between speed, accuracy, and power consumption of Nyquist ADCs. To compare different architectures, I will introduce a framework capturing the most significant effects and trade-offs on a building block level which eventually impact the overall ADC performance...

2022-09-26

人工智能经纬论坛第【15】期讲座通知

报告人：Rex Ying时间：2022/09/27 上午9:00主持人：Prof. Yu Guang Wang (上海交通大学自然科学研究院）AbstractThe talk focuses on geometric embedding approaches to representation learning on graph-structured data. We observe that certain inductive biases of graph data, such as hierarchies and transitive closures, can be modeled more effectively through different embedding geometries. We leverag...

2022-09-23

人工智能经纬论坛第【14】期讲座通知

报告人：Stephen McAleer时间：2022/09/16 下午21:00主持人：杨耀东助理教授AbstractThe double oracle (DO) algorithm is an approach for finding a Nash equilibrium in two-player zero-sum games. DO iteratively adds a best response to a population of policies and then mixes over this population via a Nash equilibrium of the game restricted to these strategies. Although in the worst-case DO will ha...

2022-09-13

人工智能经纬论坛第【13】期讲座通知

报告人：Guy Van den Broeck时间：2022/09/6 上午9:30主持人：梁一韬助理教授AbstractModern artificial intelligence, and deep learning in particular, is extremely capable at learning predictive models from vast amounts of data. Many expect that AI will go from powering customer service chatbots to providing mental health services. That it will go from personalized advertisement to deciding who ...

2022-09-03

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