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直播回放 Sensors, Data, AI and Health 传感器、数据、人工智能和健康
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1. Topic: Sensors, Data, AI and Health
演讲题目:传感器、数据、人工智能和健康
2. Language: English
演讲语言:英文
3. Speaker: Dr. Eleni Stroulia is a Professor in the Department of Computing Science and the Director of the AI4Society Signature Area, at the University of Alberta. From 2011-2016, she held the NSERC/AITF Industrial Research Chair on Service Systems Management, with IBM. Her research focuses on industry-driven problems, adopting AI and machine-learning methods to improve or automate tasks. She has played leadership roles in the GRAND and AGE-WELL NCEs, the SAVI Strategic Network, and the DITA CREATE Network. She has supervised more than 50 graduate students and in 2018 she received a McCalla professorship and in 2019 a Killam Award for Excellence in Mentoring.
演讲嘉宾:Eleni Stroulia博士是阿尔伯塔大学计算科学系的教授,同时也是AI4Society Signature Area的主任。从2011年到2016年,她在IBM担任NSERC/AITF服务系统管理工业研究主席。她的研究侧重于行业驱动问题,采用人工智能和机器学习方法来改进任务或使任务自动化。曾在GRAND、AGE-WELL NCEs、SAVI Strategic Network和DITA CREATE Network等项目中承担领导角色。她曾指导过50多名研究生,于2018年获得“McCalla Professorship”荣誉,2019年获得“Killam 卓越导师奖”。
4. Abstract: At the intersection of Internet of Things (IoT) technologies and Machine-Learning advances lies the potential for transforming the way we monitor and manage our health. Sensors embedded in our environment and worn on our bodies emit a continuous data stream that modern machine-learning algorithms can transform into predictors of health challenges and indicators relevant to diagnosis and treatment. In this talk, we will explore some applications that seem to pave the way to the Star Trek tricorder. 
演讲简介:在物联网技术和机器学习进展的交汇点,有改变我们监控和管理健康方式的潜力。嵌入在我们的生活环境中和并佩戴在我们身体上的传感器会发出连续的数据流,现代机器学习算法可以将这些数据流转化为健康问题的预测因子以及与诊断治疗相关的指标。在这次演讲中,我们将探索一些似乎能将《星际迷航》三录仪变为现实的应用。

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