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Shen S.-S.,National Taiwan University | Lee H.-Y.,National Taiwan University | Li S.-W.,MIT Computer Science and Artificial Intelligence Laboratory | Zue V.,MIT Computer Science and Artificial Intelligence Laboratory | Lee L.-S.,National Taiwan University
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | Year: 2015

The increasing popularity of Massive Open Online Courses (MOOCs) has resulted in huge number of courses available over the Internet. Typically, a learner can type a search query into the look-up window of a MOOC platform and receive a set of course suggestions. But it is difficult for the learner to select lectures out of those suggested courses and learn the desired information efficiently. In this paper, we propose to structure the lectures of the various suggested courses into a map (graph) for each query entered by the learner, indicating the lectures with very similar content and reasonable sequence order of learning. In this way the learner can define his own learning path on the map based on his interests and backgrounds, and learn the desired information from lectures in different courses without too much difficulties in minimum time. We propose a series of approaches for linking lectures of very similar content and predicting the prerequisites for this purpose. Preliminary results show that the proposed approaches have the potential to achieve the above goal. Copyright © 2015 ISCA. Source

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Site: http://news.mit.edu/topic/mitmechanical-engineering-rss.xml

According to Forbes magazine, their fifth annual 30 Under 30 lists showcase “America’s most important young entrepreneurs, creative leaders and brightest stars” who are less than than 30 years old. Twenty-five MIT students, researchers, and alumni made the 2016 lists. Some 600 selections covering 20 categories were whittled down from an initial screening of more than 15,000 nominations. Following are the MIT affiliates who were selected. Peter Bailis (Enterprise Tech) Postdoc in the MIT Computer Science and Artificial Intelligence Laboratory "26-year-old Bailis finished his PhD in computer science at Berkeley and accepted a tenure-track assistant professor position in Stanford's computer science department, starting in fall 2016. He wrote his PhD thesis on large-scale data management and is a recipient of a National Science Foundation Graduate Research Fellowship." Sampriti Bhattacharyya (Manufacturing and Industry) Grad student in the Department of Mechanical Engineering and founder of Hydroswarm “Bhattacharyya has developed underwater drones that are capable of scanning the ocean for lost planes, or measure oil spills or radiation under the sea.” “Chief operating officer of bank’s U.S. credit trading group, managing 100 bankers trading investment grade, high yield and distressed debt.” “Accion is working to commercialize ion propulsion technology for small satellites using a liquid ionic propellant that is non-toxic and non-explosive.” “Chhabra published his first paper in high school. He's now pursuing his PhD, and his most recent thesis is focused on building a “liver on a chip” — a miniaturized liver model scientists hope could one day replace the use of animals for disease research.” Abe Davis (Science) Grad student in the Department of Electrical Engineering and Computer Science “Davis is best known for the subject of his TED Talk, in which he showed that he could capture information from video based on vibrations in the room.” “Elmachtoub’s research is focused on using data science and optimizing algorithms to make businesses more efficient.” “EverVest provides advanced software for analyzing, valuing, and financing renewable energy projects.” “This MIT PhD has put this technique to work making genetic alterations to cells to find proteins that can be hit with new drugs.” “While studying computer science and physics at MIT, Grinich wrote his thesis on the fundamental tools for syncing email. He founded Nylas (formerly known as Inbox), with fellow MIT alumna Spang in 2013 … Spang, who wrote the core mail synchronization engine, runs its platform team, while Grinich is CEO.” “Harvatine aims to catch concussions as they happen. His sensor can be attached to anything on the head — headband, helmet, hair clip — and sends feedback to smartphones in real time.” Noel Hollingsworth ’13, MEng ’14 (Sports) Director of data at Second Spectrum “Hollingsworth won the 2014 Best Research Award at the MIT Sloan Sports Analytics Conference. Almost all NBA championship contenders use his work to gain an edge.” Steven Keating SM ’12 (Healthcare) Grad student in the department of Mechanical Engineering “Keating found out that he had brain cancer after volunteering for an MRI experiment … the MIT researcher wants to know: why can my doctors see my tumor genome and not me?” “Heads one of Wall Street’s biggest VIX and structured volatility market making desks.” Andrej Lenert SM ’10, PhD ’14 (Science) Postdoc at the University of Michigan “One avenue of his research was to develop a hybrid solar power system, combining the best of photovoltaic and solar thermal systems without their drawbacks.” “Formlabs’ printers are designed to allow for more precise parts to be created for more complicated 3-D printing projects.” “Schoellhammer, a student of MIT professors Daniel Blankschtein and Robert Langer, invented a pill that can inject drugs directly into the gastrointestinal tract. The gadget helped him win the prestigious Lemelson-MIT Student Prize.” Harbaljit Sohal (Science) Postdoc at the McGovern Institute for Brain Research at MIT "Sohal's research focus is on building neural implants for the treatment of brain disorders, disability and immunodisorders. He's developed microfabrication technologies that are capable of creating small, flexible electrodes and other devices that can be more easily integrated into the body." “Van Lehn’s research is focused on chemically engineered nanoparticles and studying how they interact with cell membranes.” “Weinstein is now behind Workflow, an app that won Apple’s Most Innovative App award for 2015 and which generates task recipes across iPad, iPhone or Watch.” “Wickramasekara has created a digital version of every scientist’s Bible: The lab notebook. The system helps researchers contextualize and collaborate on genome engineering data.” Natasha Wright SM ’14 (Energy) Grad student in the Department of Mechanical Engineering “Wright’s approach to removing salt from groundwater in rural India uses electrodialysis to extract the salt out of the water, and can run on solar power.” “Kamcord’s mobile application allows users to record, share and watch the games they play on their phones.”

Perry J.,MIT Computer Science and Artificial Intelligence Laboratory | Ousterhout A.,MIT Computer Science and Artificial Intelligence Laboratory | Balakrishnan H.,MIT Computer Science and Artificial Intelligence Laboratory | Shah D.,MIT Computer Science and Artificial Intelligence Laboratory | Fugal H.,Facebook
Computer Communication Review | Year: 2015

An ideal datacenter network should provide several properties, including low median and tail latency, high utilization (throughput), fair allocation of network resources between users or applications, deadline-aware scheduling, and congestion (loss) avoidance. Current datacenter networks inherit the principles that went into the design of the Internet, where packet transmission and path selection decisions are distributed among the endpoints and routers. Instead, we propose that each sender should delegate control-to a centralized arbiter-of when each packet should be transmitted and what path it should follow. This paper describes Fastpass, a datacenter network architecture built using this principle. Fastpass incorporates two fast algorithms: the first determines the time at which each packet should be transmitted, while the second determines the path to use for that packet. In addition, Fastpass uses an efficient protocol between the endpoints and the arbiter and an arbiter replication strategy for fault-tolerant failover. We deployed and evaluated Fastpass in a portion of Facebook's datacenter network. Our results show that Fastpass achieves high throughput comparable to current networks at a 240× reduction is queue lengths (4.35 Mbytes reducing to 18 Kbytes), achieves much fairer and consistent flow throughputs than the baseline TCP (5200× reduction in the standard deviation of per-flow throughput with five concurrent connections), scalability from 1 to 8 cores in the arbiter implementation with the ability to schedule 2.21 Terabits/s of traffic in software on eight cores, and a 2.5× reduction in the number of TCP retransmissions in a latency-sensitive service at Facebook. Source

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