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人工智能经纬论坛第【19】期讲座通知
报告人：Seung-Tak Ryu时?间：2022/10/24 下午15:00主持人：唐希源 助理教授Abstract: ??Since late 2000’s, SAR ADCs have become one of the most popular ADC architectures showing not only excellent energy efficiency but also competitive conversion speed owing to the digital-friendly compact structure and architectural evolution in deep submicron technologies. Being utilized as sub building blocks, S...
2022-10-18
人工智能经纬论坛第【18】期讲座通知
报告人：Desmond Elliott时?间：2022/10/19 下午19:00主持人：赵东岩 研究员Abstract: ??Language models are defined over a finite set of inputs, which creates a vocabulary bottleneck when we attempt to scale the number of supported languages. Tackling this bottleneck results in a trade-off between what can be represented in the embedding matrix and computational issues in the output layer. This pape...
2022-10-14
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
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