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  • MIT OpenCourseWare: Free Courses from the institute

    Lecture 29: Visual System 4: Ablations (cont.) (Orig: Electrophysiology)

    MIT 9.01 Neuroscience and Behavior, Fall 2003 Instructor: Prof. Gerald E. Schneider View the complete course: http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-01-neuroscience-and-behavior-fall-2003 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63U7FmbKD9KClb-94dyPJim Uploaded 16-05-22 Visual System 4: Ablations (cont.) (Orig: Electrophysiology) License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments. Speakers: Prof. Gerald E. Schneider Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 45 min
  • Stanford Online: University Courses & Lectures

    Stanford Seminar: PyWren - Pushing Microservices to Teraflops

    EE380: Computer Systems Colloquium Seminar PyWren - pushing microservices to teraflops Speaker: Eric Jonas, UC Berkeley Much of cloud computing infrastructure remains hard to use, in spite of decades of both academic research and commercialization. Fortunately, recent technologies developed for web services and internet startups can be repurposed to enable a much lower-friction scalable cloud experience. Our goal is making the power, elasticity, and dynamism of commercial cloud services like Amazon's EC2 accessible to busy applied physicists, electrical engineers, and data scientists, as well as a compelling new capability over Matlab, hopefully encouraging migration. We built PyWren, a transparent distributed execution engine on top of AWS Lambda, which hopefully simplifies many scale-out use cases for data science and computational imaging. We will demo applications built on our framework and seek user input into next directions. Uploaded 20-04-17 Joint work with Shivaram Venkataraman, Qifan Pu, Ion Stoica, and Ben Recht. About the Speaker: Eric Jonas is currently a postdoc in computer science at UC Berkeley working with Ben Recht on computational imaging, inverse problems, and machine learning for scientific data acquisition. He earned his PhD in Computational Neuroscience, M. Eng in Electrical Engineering, BS in Electrical Engineering and Computer Science, and BS in Neurobiology, all from MIT. Prior to his return to academia, he was founder and CEO of Prior Knowledge, a predictive database company which was acquired in 2012 by Salesforce.com, where he was Chief Predictive Scientist until 2014. In 2015 he was named one of the top rising stars in bioengineering by the Defense Department's Advanced Research Projects Agency (DARPA). For more information about this seminar and its speaker, you can visit http://ee380.stanford.edu/Abstracts/170419.html Support for the Stanford Colloquium on Computer Systems Seminar Series provided by the Stanford Computer Forum. Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week. Learn more: http://bit.ly/WinYX5 Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 55 min
  • MIT OpenCourseWare: Free Courses from the institute

    Lecture 5: Assignment 1 Brainstorming and Team Formation

    MIT CMS.608 Game Design, Fall 2010 Instructors: Philip B. Tan, Jason Begy, Abe Stein (Singapore-MIT GAMBIT Game Lab) Uploaded 16-09-25 View the complete course: https://ocw.mit.edu/courses/cms-608-game-design-fall-2010/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61_JVg12Ukxft03EJ7xxdbR Abe Stein talks about how to brainstorm constructively, despite social pressure and interpersonal dynamics. Students practice generating ideas individually and in groups, ending with concepts for the first team project, a card game for 2-4 players. Related Resources: Osborn, Alex F. "Creative Collaboration by Groups." Chapter 12 in Applied Imagination. New York, NY: Scribner, 1953. ISBN: 9780930222734. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 1 hr 25 min
  • Stanford Online: University Courses & Lectures

    Stanford Seminar - Single-Life Robot Deployment: Adapting On-the-Fly to Novel Scenarios

    January 19, 2024 Annie Chen of Stanford University A major obstacle to the broad application of robots is their inability to adapt to unexpected circumstances, which limits their uses largely to tightly controlled environments. Even equipped with prior experience and pre-training, robots will inevitably encounter out-of-distribution (OOD) situations at deployment time that may require a large amount of on-the-fly adaptation. In this talk, I will first motivate and introduce the problem setting of single-life deployment, which provides a natural setting to study the challenge of autonomously adapting to unfamiliar situations. I will then present our recent work on this problem, Robust Autonomous Modulation (ROAM). By effectively identifying relevant behaviors on-the-fly, ROAM adapts over 2x as efficiently compared to existing methods when facing a variety of OOD situations during deployment. Crucially, this adaptation process all happens within a single episode at test time, without any human supervision. Uploaded 03-02-24 About the speaker: https://anniesch.github.io/ More about the course can be found here: https://stanfordasl.github.io/robotics_seminar/ View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD ► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 26 min

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