Stanford Online: University Courses & Lectures

Stanford Online

You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. https://online.stanford.edu/Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life.Stanford Online is operated and managed by the Stanford Engineering Center for Global and Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.Links:Stanford Online: https://online.stanford.edu/Linkedin: https://www.linkedin.com/company/stanford-online/Instagram: https://www.instagram.com/officialstanfordonline/Facebook: https://www.facebook.com/StanfordOnline/Twitter: https://twitter.com/StanfordOnlineCGOE: https://cgoe.stanford.edu/

  1. 1h ago

    Stanford Seminar - Content Moderation as Systems Thinking

    January 27, 2023Evelyn Doeuk of Stanford UniversityThe stylized picture of content moderation that forms the basis for most regulatory and academic discussion of online speech governance is misleading and incomplete. That picture depicts content moderation as a rough online analog of offline judicial adjudication of speech rights, with legislative-style substantive rules being applied over and over again to individual pieces of content by a hierarchical bureaucracy of moderators. But content moderation should instead be understood as a project of mass speech administration and that looking past a post-by-post evaluation of platform decision making reveals a complex and dynamic system that needs a more proactive and continuous form of governance than the vehicle of individual error correction allows.Uploaded 07-02-23About the speaker:Evelyn Douek is an Assistant Professor of Law at Stanford Law School. Before joining the Stanford faculty she was the Senior Research Fellow at the Knight First Amendment Institute at Columbia University and did a doctorate at Harvard Law School on the topic of private and public regulation of online speech.Evelyn's research has appeared or is forthcoming in the Harvard Law Review, Columbia Law Review, the University of Chicago Law Review Online, Lawfare, The Atlantic, WIRED, Slate, and a number of other publications. Being human, Evelyn naturally has a couple of podcasts, most recently as host of Moderated Content, podcast content from Stanford Law School about content moderation.► Check out our entire catalog of online courses and programs: https://online.stanford.edu/explore Learn more about your ad choices. Visit megaphone.fm/adchoices

    Stanford Seminar - Content Moderation as Systems Thinking
  2. 2h ago

    Stanford Seminar - Conflict and Technology

    Oskar MencerMaxeler Technologies and Imperial College LondonSeptember 25, 2019We live in a world of seemingly increasing numbers of types of conflicts and less and less time and energy for each one. Chip Wars, Internet vs Democracy, and Flat Earthers,... At the same time, Technology reduces the information difference around the world, predicting what can be predicted, leaving the unpredictable as our future. Recently, as Enterprise Champion at Imperial College London, I started thinking more about the innovation challenge in a broader context. Each innovation addresses one or multiple pain points. Each time a possible solution to a pain point succeeds, there is a chance for a new pain point to arise from the new solution. The successful entrepreneur finds him or herself constantly chasing solutions to problems created by their success. I will complement the above journey with examples from building fast computers with FPGAs.Uploaded 02-10-19View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu0:00 Introduction4:41 Technology in banking - a problem in scale and complexity9:48 Fastest computers for top 4 HPC applications11:48 Commercializing FPGAs for Computation16:31 Conflicts We live in a world of many conflicts20:15 New Conflicts24:15 The Kill Switch Product Idea28:09 Uncertainty30:34 The Homework Problem32:58 Start a company, build a product Pain Points35:18 Scaling is a race against cashflow36:17 Top 10 Conflicts in Computing with FPGAS Conflict 1: HDL is hard, need a high level programming language Conflict 2: FPGAS DRAM Memory interfaces39:57 HDL is hard, high level programming40:30 C1: Connect language to space on the chip43:33 FPGA floating point is inefficient (due to the barrel shifter)45:02 Separating CPUs and FPGAS Conflict: CPU and FPGA in the same server is inefficient. The optimal balance between FPGAs and CPUs is never exactly 50-50, Server+FPGA card is inefficient Solution: build an Infiniband-connected appliance47:32 There are no Applications for FPGAS Why would you buy a computer for which there are no applications47:56 Need to rewrite parts of the application Solution 1: Develop the Maxeler acceleration process49:06 Hardware Debug is Hard MaxDebug tool example49:21 C7 Hardware Efficiency Debug is Hard49:43 c7 Hardware Performance Debug is Hard MaxProfile tool example50:00 Place-and-route takes 3 days51:34 High level language obsoletes the HDL expert52:43 Most software does not need acceleration58:58 Conclusions To scale, you need to keep up with the conflict cycle, predict and solve the next next conflict before it happens!59:45 World's hardest simulation, Quantum Chromodynamics on a Xilinx VU9P FPGA Learn more about your ad choices. Visit megaphone.fm/adchoices

    Stanford Seminar - Conflict and Technology
  3. 3h ago

    Stanford Seminar - Systems for Supporting Intent Formation and Human-AI Communication

    January 20, 2023Elena Glassman of Harvard UniversitySystems for Supporting Intent Formation and Human-AI Communication: Existing Challenges and Promising Design StrategiesUploaded 04-02-23Communication between humans is often a multimodal conversation. It can be a recurring loop with optional steps depending on the complexity of the situation and our possibly evolving understanding of what we want. The same is true of our communication with computers. When a human is reasoning about complex data and asking for automated assistance, this conversation can be especially hard. Carefully designed data rendering and interface affordances can help significantly. I will present a selection of novel interactive systems whose interface designs help users (1) quickly and accurately form a mental model of a concept from relevant data, (2) form - and update - their beliefs about what they want (3) communicate what they want to a computer when its automation capabilities are helpful and/or (4) have justified confidence that the automation being carried out reflects their current intentions. Systems discussed will include an interface for comparing and contrasting similar but distinct programming libraries based on real-world usage and a mixed-initiative neurosymbolic system that helps users perform qualitative coding, i.e., label large volumes of short texts with emergent themes.About the speaker: Elena L. Glassman is an Assistant Professor of Computer Science at the Harvard Paulson School of Engineering and Applied Sciences, specializing in human-computer interaction. She recently served as the Stanley A. Marks and William H. Marks Professor at the Radcliffe Institute for Advanced Study. At MIT, she earned a PhD and MEng in Electrical Engineering and Computer Science and a BS in Electrical Science and Engineering. Before joining Harvard, she was a postdoctoral scholar in Electrical Engineering and Computer Science at the University of California, Berkeley, where she received the Berkeley Institute for Data Science Moore/Sloan Data Science Fellowship. Her recent work has been awarded funding by the Harvard Data Science Institute, the NSF programs on Fairness in Artificial Intelligence, Formal Methods in the Field, Cyber-Human Systems, and the Science of Learning and Augmented Intelligence. Learn more about your ad choices. Visit megaphone.fm/adchoices

    Stanford Seminar - Systems for Supporting Intent Formation and Human-AI Communication
  4. 5h ago

    Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything

    For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/aiFollow along with the course schedule and syllabus, visit: https://cs153.stanford.edu/In a CS153 Frontier Systems lecture, OpenAI CEO Sam Altman returned to Stanford — where he taught the iconic CS183 How to Start a Startup in 2014 — to reflect on how radically the startup playbook has changed in the AI era, noting that a founder can now accomplish with tokens what once required a hundred-person engineering team.Uploaded 15-06-26Drawing on his core empirical conviction that scale reliably produces emergent properties beyond what consensus expects, Altman walked through the origin stories of both ChatGPT (a research demo that went unexpectedly viral, triggering a five-day "good emergency" that forced OpenAI to build a company and product simultaneously) and Codex (the coding bet that predated ChatGPT and finally hit its inflection point with 5.5), arguing that the current pre-training/post-training/RL pipeline will likely require a fundamental rewrite — one he expects AI itself to design. He framed intelligence as a nascent utility analogous to electricity, wrestling with how to make that concept legible to the world the way early power companies sold "light at night" rather than electricity itself, and warned that the most important unresolved fork ahead is whether this technology gets democratized broadly or concentrates in a handful of companies — a risk he put at roughly 20% probability, and one he argued is more dangerous than most safety concerns. He closed by flagging compute shortage as an underappreciated live crisis, suggesting that as long as AI keeps improving, demand will structurally outpace supply, and urging students to consider working on inference infrastructure as one of the most underleveraged bets in the field.Sam Altman is the co-founder and CEO of OpenAI, the AI research and deployment company behind ChatGPT. He helped launch OpenAI in 2015 with the goal of ensuring artificial general intelligence benefits all of humanity. Before OpenAI, Sam served as president of Y Combinator. Learn more about your ad choices. Visit megaphone.fm/adchoices

    Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything

About

You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. https://online.stanford.edu/Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life.Stanford Online is operated and managed by the Stanford Engineering Center for Global and Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.Links:Stanford Online: https://online.stanford.edu/Linkedin: https://www.linkedin.com/company/stanford-online/Instagram: https://www.instagram.com/officialstanfordonline/Facebook: https://www.facebook.com/StanfordOnline/Twitter: https://twitter.com/StanfordOnlineCGOE: https://cgoe.stanford.edu/