[Adapt] FW: 【讲座通知】亚马逊云服务人工智能团队讲座-本周二（3/28）下午2:00，3-200号报告厅

[Kenny Zhu]

-----Original Message-----
From: chen-zx [mailto:chen-zx at cs.sjtu.edu.cn] 
Sent: Monday, March 27, 2017 2:56 PM
To: all at cs.sjtu.edu.cn
Subject: 【讲座通知】亚马逊云服务人工智能团队讲座-本周二（3/28）下午2:00，3-200号报告厅

 各位老师好！
  
 美国亚马逊云服务（AWS）人工智能团队将于本周二（3月28日）下午2:00来访我系，AWS首席科学家Animashree
 Anandkuma博士将在3-200号报告厅做题为“Distributed Deep Learning using MXNet on
 AWS”的学术报告。当天晚上7:00在3-414教室召开AWS人工智能团队宣讲与招聘活动，诚邀能力出众的学生加入AWS的美国分部（Seattle和Palo
 Alto分部）。欢迎各位老师和感兴趣的同学参加讲座，也欢迎推荐学生参加招聘活动，谢谢！
 欢迎您和您的学生积极参加。谢谢！
  
 ---讲座信息---
 演讲人：Animashree Anandkuma博士
 演讲时间：2017年3月28日（周二）14:00-16:00
 演讲地点：电信群楼3-200号报告厅
 主持人：张伟楠助理教授

 Title: Distributed Deep Learning using MXNet on AWS
 
 Abstract:
 Deep learning is the state of the art in domains such as computer  vision and natural language understanding. MXNet is an open-source  framework developed through collaboration and contributions of  researchers at several top universities. It is now the recommended deep  learning package at AWS due to its programmability, portability, and  efficiency.  It is suitable for deployment from multiple GPUs and  multiple machines to embedded systems such as smart phones and embedded 
 GPUs.   This talk will cover how MXNet helps developers in machine 
 learning as well as how you can quickly start using it by leveraging  preconfigured Deep Learning AMIs (Amazon Machine Images) and  CloudFormation Templates on AWS.  The talk will cover use cases in  computer vision and natural language processing.
 
 Bio: Anima Anandkumar is currently a principal scientist at Amazon Web  Services. Her research interests are in the areas of large-scale machine  learning, non-convex optimization and high-dimensional statistics. In  particular, she has been spearheading the development and analysis of  tensor algorithms.  She is the recipient of several awards such as the  Alfred. P. Sloan Fellowship, Microsoft Faculty Fellowship, Google  research award, ARO and AFOSR Young Investigator Awards, NSF Career  Award, Early Career Excellence in Research Award at UCI, Best Thesis  Award from the ACM Sigmetrics society, IBM Fran Allen PhD fellowship,  and several best paper awards. She has been featured in a number of  forums such as the Quora ML session, Huffington post, Forbes, O’Reilly  media, and so on.  She received her B.Tech in Electrical Engineering  from IIT Madras in 2004 and her PhD from Cornell University in 2009. She  was a postdoctoral researcher at MIT from 2009 to 2010,  an assistant  professor at U.C. Irvine between 2010 and 2016, and a visiting  researcher  at Microsoft Research New England in 2012 and 2014. She will  be joining Caltech CMS Department as a Donald Bren Endowed Chair  Professor in 2018.


 附件是本次学术讲座的电子海报和当天晚上的招聘宣传海报，请参考，谢谢！


--
 祝好，
 陈哲轩
 上海交通大学计算机系办公室
 021－34205058
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