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Cambridge2Cambridge (C2C) Cybersecurity Challenge 2018
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Events
June 25, 2018
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June 29, 2018
June 30, 2018
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Cambridge2Cambridge (C2C) Cybersecurity Challenge 2018
This event has been cancelled
July 01, 2018
Cancelled
Cambridge2Cambridge (C2C) Cybersecurity Challenge 2018
This event has been cancelled
July 02, 2018
Improving Web Applications with Fine-grained Data Flows
Ravi Netravali
MIT, CSAIL
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2018-07-02 14:00:00
2018-07-02 15:00:00
America/New_York
Improving Web Applications with Fine-grained Data Flows
Abstract:Web applications are integral to today’s society, hosting a variety of services ranging from banking and e-commerce to mapping and social media. To support these rich services, web applications have evolved into complex distributed systems, making critical tasks such as performance optimization and debugging difficult.In this talk, I will describe how we can address this growing complexity by efficiently identifying and analyzing the fine-grained, distributed data flows in web applications. Tracking data flows at the granularity of individual pieces of program state, like JavaScript variables on the client-side, and key/value pairs in storage systems on the server-side, provides invaluable insights into the low-level behavior of complex web services. This information enables a variety of systems with new, more powerful performance optimizations and debugging techniques. I will describe two such systems that we have built. The first is Polaris, a web page load optimizer that identifies data dependencies between web objects to improve browser request scheduling and reduce page load times by 34%-59%. I will then discuss Vesper, the first system to accurately measure how quickly web pages become interactive for users. Vesper uses fine-grained data flows to automatically identify a page's interactive state and reduce page time-to-interactivity by 32%.Bio:Ravi Netravali is a Ph.D. student at MIT, advised by Professors Hari Balakrishnan and James Mickens. He will join the UCLA Computer Science Department as an assistant professor in the fall of 2019. His research interests are in computer systems and networks, with a recent focus on building practical systems to improve the performance and debugging of large-scale, distributed web applications. He is a recipient of the 2017 Qualcomm Innovation Fellowship, and shared the Internet Research Task Force's Applied Networking Research Prize in 2018.
Star (32-D463)
Belfer
sarah_donahue@hks.harvard.edu
CBMM Special Seminar: Transformative Generative Models
Tel Aviv University and Facebook AI Research
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2018-07-02 16:00:00
2018-07-02 17:00:00
America/New_York
CBMM Special Seminar: Transformative Generative Models
Abstract: Generative models are constantly improving, thanks to recent contributions in adversarial training, unsupervised learning, and autoregressive models. In this talk, I will describe new generative models in computer vision, voice synthesis, and music.In music – I will describe the first music translation method to produce convincing results (https://arxiv.org/abs/1805.07848)In voice synthesis – I will discuss the current state of multi-speaker text to speech (https://arxiv.org/abs/1802.06984)
Singleton Auditorium
Belfer
sarah_donahue@hks.harvard.edu
July 18, 2018
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2018-07-18 9:30:00
2018-07-18 12:00:00
America/New_York
FinTech@CSAIL Initiative Launch
We invite you to attend the launch of the FinTech@CSAIL initiative. The goal of FinTech@CSAIL is to advance the state-of-the-art in collaboration with select industry partners to address the hardest problems facing the finance industry today.Join FinTech@CSAIL faculty directors Silvio Micali, Shafi Goldwasser and Andrew Lo, along with founding industry members for the launch of this exciting new collaboration.The program will take place in the Ray and Maria Stata Center, Room 155, on the first floor.About FinTech@CSAILFinTech@CSAIL will bring together industry, thought leaders, innovators, academics, disruptive technology development, and startup companies that are reinventing global financial services.We will work closely with industry partners in leveraging innovation from cutting edge research to develop the next generation of impactful technologies that will open up new business models, broaden access, gain new data insights, and improve security.Through the rigorous research of our faculty coupled with our tradition of collaborating with industry, FinTech@CSAIL will address relevant business problems with long-term vision.
Room 32-155
Belfer
sarah_donahue@hks.harvard.edu