Stanford Online: University Courses & Lectures

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/aiThis lecture is from the Stanford Online professional course XCS224U: https://online.stanford.edu/courses/xcs224u-natural-language-understandingEvery lecture from this professional course is taken from content within the Stanford University graduate course - CS224U. To follow along, visit the graduate course website: http://web.stanford.edu/class/cs224u/index.htmlUploaded 17-08-23Christopher Potts Professor and Chair, Department of Linguistics, and Professor, by courtesy, Department of Computer Science at Stanford University http://web.stanford.edu/~cgpotts/View the entire playlist of lectures: https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBpTo browse all available online courses and programs offered by Stanford Online, visit: http://online.stanford.eduTo view all online courses and programs offered by Stanford, visit: http://online.stanford.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/aiThis lecture is from the Stanford Online professional course XCS224U: https://online.stanford.edu/courses/xcs224u-natural-language-understandingEvery lecture from this professional course is taken from content within the Stanford University graduate course - CS224U. To follow along, visit the graduate course website: http://web.stanford.edu/class/cs224u/index.htmlUploaded 17-08-23Christopher Potts Professor and Chair, Department of Linguistics, and Professor, by courtesy, Department of Computer Science at Stanford University http://web.stanford.edu/~cgpotts/View the entire playlist of lectures: https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBpTo browse all available online courses and programs offered by Stanford Online, visit: http://online.stanford.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/aiThis lecture is from the Stanford Online professional course XCS224U: https://online.stanford.edu/courses/xcs224u-natural-language-understandingEvery lecture from this professional course is taken from content within the Stanford University graduate course - CS224U. To follow along, visit the graduate course website: http://web.stanford.edu/class/cs224u/index.htmlUploaded 17-08-23Christopher Potts Professor and Chair, Department of Linguistics, and Professor, by courtesy, Department of Computer Science at Stanford University http://web.stanford.edu/~cgpotts/View the entire playlist of lectures: https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBpTo browse all available online courses and programs offered by Stanford Online, visit: http://online.stanford.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Richard DasherStanford UniversityOctober 23, 2019China and the United States have a complex codependent relationship in the electronics and computer industries. This relationship is currently under stress. In this talk, I begin by putting the current friction into the context of similar friction between the U.S. and Japan in semiconductors during the 1980s. I will then focus on the issues and forces that will shape the future for IT industries in both countries.Uploaded 31-10-19View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu " Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-modelsTo follow along with the course schedule and syllabus, visit: https://cme296.stanford.edu/syllabus/Chapters:00:00:00 Introduction00:05:19 Motivation00:10:48 Human ratings00:19:43 Elo rating system00:26:37 Reference-free metrics00:29:15 Fréchet inception distance (FID)00:42:30 CLIPScore00:44:51 PickScore00:45:41 Reference-based metrics00:48:07 Mean squared error (MSE)00:49:36 Peak signal-to-noise ratio (PSNR)00:51:54 Structural similarity (SSIM)01:01:09 Perceptual similarity (LPIPS)01:05:03 Multimodal LLMs01:13:10 Faithfulness evaluation (TIFA)01:17:29 Visual question answering score (VQA)01:24:40 MLLM-as-a-Judge01:34:17 BenchmarksUploaded 28-05-26For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationAfshine Amidi is an Adjunct Lecturer at Stanford University.Shervine Amidi is an Adjunct Lecturer at Stanford University.View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rNdy8rt2rZ4T2xM0OjADnfu Learn more about your ad choices. Visit megaphone.fm/adchoices

Kostas AlexisUniversity of Nevada, RenoOctober 18, 2019This talk will present our contributions in the domain of field-hardened resilient robotic autonomy and specifically on multi-modal sensing-degraded GPS-denied localization and mapping, informative path planning, and robust control to facilitate reliable access, exploration, mapping and search of challenging environments such as subterranean settings. The presented work will, among others, emphasize on fundamental developments taking place in the framework of the DARPA Subterranean Challenge and the research of the CERBERUS (https://www.subt-cerberus.org/) team, alongside work on nuclear site characterization and infrastructure inspection. Relevant field results from both active and abandoned underground mines as well as tunnels in the U.S. and in Switzerland will be presented. In addition, a selected set of prior works on long-term autonomy, including the world-record on unmanned aircraft endurance will be briefly overviewed. The talk will conclude with directions for future research to enable advanced autonomy and resilience, alongside the necessary connection to education and the potential for major broader impacts to the benefit of our economy and society.Uploaded 31-10-19View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZDLearn more about our Robotics and Autonomous Systems Graduate Program: https://online.stanford.edu/programs/robotics-and-autonomous-systems-graduate-program0:00 Introduction0:34 Resilient Autonomy: A Goal for Robotics1:29 A Vision for Robotics Research3:18 Resilient Autonomy in High-Risk Environments7:50 Sensing-degraded Multi-modal Perception13:57 Informative Path-Planning in High-Risk Settings29:27 Last Resort Resilience via Controlled Interaction32:03 Reconfigurable Systems of Systems38:33 Funding Support42:08 Selected Previous Results: Physical Interaction43:06 Open Source Contributions43:51 Application Domains Learn more about your ad choices. Visit megaphone.fm/adchoices

Motoo NishiharaNEC CorporationMay 7, 2019Motoo Nishihara is Executive Vice President and CTO (Chief Technology Officer) of NEC Corporation. He is responsible for NEC’s worldwide research laboratories located in the US, Germany, China, Singapore, Israel, India, and Japan. As the CTO, he is also responsible for the company’s technology innovation strategy and investment management of the company’s technologies and intellectual properties.Uploaded 11-06-19Since he was appointed as Senior Vice President in April 2016, he started promoting the concept of “Ecosystem R and D”. Under the concept, he has enhanced collaborative research activities with partners including start-up companies around NEC’s strong technologies. Through the activities, he has realized a unique R and D scheme to set start-ups by researchers, seeking for talented people from outside of the company, and faster monetization opportunities under greater valuations. To accelerate open innovations activities, he established NEC Israel Research Center in 2016 and NEC Laboratories India in 2018.He has built his carrier in NEC through a business division, a product development division and laboratories. He received his Master of Science degree in Electrical Computer Engineering from Carnegie Mellon University, and Bachelor of Science degree in mathematical engineering and information physics from the University of Tokyo. He received the 18th Advanced Technology Award of Fuji Sankei Business Eye Prize in 2014.View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMa0VlyvCv0h9dOyQcYxFZ0 Learn more about your ad choices. Visit megaphone.fm/adchoices

March 6, 2023Alex Pruden of AleoUploaded 29-03-23 Learn more about your ad choices. Visit megaphone.fm/adchoices

In this webinar Professor Pamela Matson and Professor Jim Leape share lessons from their decades of experience working with NGOs, governments, and the private sector to advance sustainability efforts.Uploaded 17-06-19You Will Learn:- Why diverse collaborations are important to drive change in complex systems- A framework for addressing sustainability as a systems challenge- How this approach played out in an actual case—the global palm oil sectorThis webinar will give you a preview of the Strategies for Sustainability professional education program: https://globalimpact.stanford.edu/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Stephen Barley has spent thirty-five years studying how new technologies change work and promote organizational change. In this webinar, Steve shares key insights about technological change that he has gained researching firms in the automobile, aerospace, biotechnology, computer and software industries, American hospitals, large architectural firms, and universities. Using studies of technologies as diverse as CT Scanners, Finite Element Analysis, email and the internet, this webinar explores three broad questions:Uploaded 03-05-13· How do the rhetorics associated new technologies blind us to what may actually be happening as we adopt them?· What are the pitfalls of focusing on first order changes brought about by new technologies, and not their second order effects which often have stronger and more lasting implications?· What is the connection between changes in technologies and changes in role relationships?Gain valuable insights into how you can optimize technological change in your organization.Presented by the Stanford Executive Institute: http://stanford.io/nlRtpU Learn more about your ad choices. Visit megaphone.fm/adchoices

March 17, 2023Jessica Cauchard of Ben Gurion University of the NegevMobile devices have become ubiquitous to our everyday life, changing the way we behave, interact with technology and with one another. While initially carried in our hands and pockets, mobile technologies are changing form to fit our lifestyles, enabling interactions on-body (e.g., wearables) and out-of-body (e.g., robots and drones). Yet, much work is needed for them to make sense of complex human situations and enable symbiotic integration of man and machine. My research explores the design, development, and evaluation of natural techniques for on- and out-of-body experience, using a human-centered approach, and exploring diverse form factors and modalities towards human-machine co-existence. In this talk, I will present how we can leverage techniques at the intersection between technology and design to build novel interaction techniques. I will then highlight how interfaces are traditionally bound by form factor, so that on-body ones cater for wearables that remain on the person's body while out-of-body interfaces are built to interact at arm's reach. Finally, I will describe opportunities for future technology development by transitioning between the two states, therefore enabling novel applications, such as extending one's physical abilities.Uploaded 28-03-23About the speaker:Dr. Jessica Cauchard is an assistant professor in the department of Industrial Engineering and Management at Ben Gurion University of the Negev in Israel, where she founded and heads the Magic Lab. Her research is rooted in the fields of Human-Computer and Human-Robot Interaction with a focus on novel interaction techniques and ubiquitous computing. Previously, she was faculty of Computer Science at the Interdisciplinary Center Herzliya between 2017 and 2019. Before moving to Israel, Dr. Cauchard worked as a postdoctoral scholar at Stanford University. She has a strong interest in autonomous vehicles and intelligent devices and how they change our device ecology. She completed her PhD in Computer Science at the University of Bristol, UK in 2013. Learn more about your ad choices. Visit megaphone.fm/adchoices

Henry WongUniversity of Toronto, IntelJune 5, 2019Although FPGAs continue to grow in capacity, FPGA-based soft processors have grown little because of the difficulty of achieving higher performance in exchange for area. Superscalar out-of-order processor microarchitectures have been used successfully for hard processors for many years, but have so far been avoided for FPGAs due to the area increase and the expectation that a loss in clock frequency would more than offset the instructions-per-cycle (IPC) gains.Uploaded 17-06-19This talk summarizes my attempt at designing an out-of-order x86 CPU for FPGA. With careful microarchitectural choices and circuit design, I show that it is possible to build a complex microarchitecture on an FPGA, getting about 2.7x performance per clock and 0.8x clock frequency of Altera's Nios II/f single-issue in-order processor. This talk will cover a high-level overview of the microarchitecture and some of the interesting LUT-based circuits used in the processor.To learn more, read Henry Wong's dissertation at http://hdl.handle.net/1807/80713View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu0:00 Introduction1:20 FPGA: Field-Programmable Gate Array3:33 FPGA Soft Processors6:01 Faster Soft Processors9:18 ISA: Why x8610:34 Soft Processor Design Goals11:46 How are FPGAs different from CMOS?16:31 Soft Processor Design Methodology18:20 Our Processor's Microarchitecture20:49 Processor Area and Frequency Component25:08 Per-clock performance (SPECint2000)29:11 Summary 130:00 Part 2: Pipeline Details30:56 Front end: Fetch-decode34:26 Register Renamer36:56 Renamer Circuit38:00 Scheduling: Track dependencies38:32 Scheduler Size39:20 Scheduler Circuit42:11 Scheduler Picker: Bit Scan45:07 Execution Circuits: Simple ALU45:24 Execution Circuit: Shifter47:28 Execution Circuit: Adder49:20 Memory System Microarchitecture50:28 Basic Cache Trade-offs51:34 More Memory System Trade-offs52:50 L1 Memory System54:24 What happens to a load: simplified54:39 Memory System: L1 Circuit56:01 Summary 2 • Out of order soft processors are useful and feasible Learn more about your ad choices. Visit megaphone.fm/adchoices

March 17, 2023Vandi Verma of NASA (JPL)The goal of NASA’s robotics missions is to maximize science return. As instructions can only be sent once every one or more Martian solar days, robots need to be autonomous to be effective. In this seminar I’ll discuss autonomous navigation, flight, sampling and targeting data from the Mars 2020 mission which consists of the Perseverance rover and Ingenuity helicopter. The goal of the mission is to core and store Martian samples for eventual return to Earth. Perseverance’s manipulation and sampling systems have collected samples from unique locations at twice the rate of any prior mission and broken several planetary rover driving records. 88% of all driving has been autonomous - an order of magnitude more than any prior NASA Mars rover. Perseverance can autonomously select scientifically interesting rocks to shoot with its laser for analysis and is in the process of deploying autonomous planning and scheduling of activities. I’ll discuss some open problems that if addressed could further enhance space robotics at NASA JPL.Uploaded 27-03-23#nasa #autonomousrobot0:00 Introduction0:25 ARTISTS CONCEPTS1:47 PROJECTS2:08 MARS 2020 ROBOTICS3:39 SUCCESSFUL INITIAL MARS SURFACE MISSION5:57 JEZERO CRATER6:26 AUTONOMOUS HAZARD AVOIDANCE10:09 CUMULATIVE ODOMETRY BY DRIVE MODE11:45 TARGETED MOBILITY IMPROVEMENT14:44 NAVIGATION AND STATE ESTIMATION16:39 SUPERVISION18:25 ROBOTIC OPERATIONS SPACECRAFT COMMANDS21:10 MULTIPLE SOL DRIVE21:48 OPPORTUNISTIC EXTENSION DRIVE23:21 INGENUITY HELICOPTER25:25 INGENUITY WINTERING31:21 CORING31:30 PROADAPT DRILLING AND ABRADING33:37 SEEDING PROADAPT34:52 SAMPLE CORES COLLECTED35:16 MARS SAMPLE RETURN PLANNING36:51 SAMPLE DEPOT37:58 DELTA TOP39:03 HELICOPTER BASE STATION40:06 DRIVE FAULTS40:42 GLOBAL LOCALIZATION41:27 CHALLENGES: MAP VS. IMAGE APPEARANCE41:52 CHALLENGES: OCCLUSIONS42:30 PATH PLANNING Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/aiProfessor Christopher Potts and Consulting Assistant Professor Bill MacCartney, Stanford Universityhttp://onlinehub.stanford.edu/ Professor Christopher PottsProfessor of Linguistics and, by courtesy, Computer ScienceDirector, Stanford Center for the Study of Language and Informationhttp://web.stanford.edu/~cgpotts/Uploaded 18-06-19Consulting Assistant Professor Bill MacCartneySenior Engineering Manager, Applehttps://nlp.stanford.edu/~wcmac/To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224u/ Learn more about your ad choices. Visit megaphone.fm/adchoices

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, Joe Sullivan, a veteran security leader who built security teams at Facebook, Uber, and Cloudflare, walks the class through his career at the intersection of government and technology — from federal prosecutor in the 1990s through eBay/PayPal, Facebook, Uber, and Cloudflare — and uses his own criminal prosecution as the central case study.Uploaded 28-05-26In 2016, Uber paid researchers $100,000 through what Sullivan's team treated as a bug bounty after they accessed an old AWS database; legal signed off and the CEO approved, but in 2020 Sullivan was personally charged with obstruction of justice for the company's failure to disclose the incident to regulators. He lost at trial in 2022 after the judge instructed the jury that companies cannot retroactively authorize access, but at sentencing in 2023 the judge declared "it wasn't a cover-up" and gave him three years' probation instead of the prison time prosecutors sought — buoyed by over 200 letters of support from the security community. From this story he draws his core theme: leadership in modern tech requires resilience and a bias toward transparency (he contrasts Uber's 2016 approach with Cloudflare's reflex to write a blog post the moment an incident hits), and he closes with a wide-ranging Q and A on vibe-coding security risks, the shift from data-loss to operational-resilience threats like the Jaguar Land Rover ransomware attack, Anthropic's cyber model rollout, quantum cryptography, executive protection, and the growing case for proactive government action against ransomware gangs.Joe Sullivan is the CEO of Joe Sullivan Security LLC, advising companies, leading security projects, and mentoring leaders. He also leads Ukraine Friends, a nonprofit aiding children in war zones. A former federal cybercrime prosecutor, Joe worked on safety and security at eBay and PayPal, then went on to lead security at Facebook, Uber, and Cloudflare. He also served on President Obama’s Commission on Enhancing National Cybersecurity. Learn more about your ad choices. Visit megaphone.fm/adchoices

March 10, 2023Joel Burdick of CaltechAutonomous robots are increasing applied to tasks that involve complex maneuvers and dynamic environments that are difficult to model a priori. Various types of learning methods have been proposed to fill this modeling gap. To motivate the need for learning complex fluid-structure interactions, we first review the SQUID (a ballistically launched and self-stabilizing drone) and PARSEC (an aerial manipulator that can deliver self-anchoring sensor network modules) systems. Next we show how to learn basic fluid-structure interactions using Koopman spectral techniques, and incorporate the learned model into a real-time nonlinear model predictive control framework. The performance of this approach is demonstrated on small drones that operate very close to the ground, where the ground effect normally destabilizes flight. Operational risk abounds in complex robotic tasks. This risk arises both from the uncertain environment, and from incompletely learned models. After reviewing the basics of coherent risk measures, we will show how simple risk aware terrain analysis improved the performance of our legged and wheeled robots in the DARPA Subterranean challenge. Then we will introduce an on-line method to learn the dynamics of an apriori unknown dynamical obstacle, and robustly avoid the obstacle using a novel risk-based, distributionally robust, chance constraints derived from the evolving learned model. We then introduce the concept of risk surfaces to enable fast on-line learning of a priori unknown dynamical disturbances, and show how this approach can adapt a drone to wind disturbances with only 45 seconds of on-line data gathering.Uploaded 21-03-230:00 Introduction2:47 SQUID I: Key Design Elements4:00 SQUID II: Vision-based Autonomous Stabilization6:22 Planetary Exploration Applications8:01 PARSEC: Payload Anchoring Robotic System for the Exploration of Cliffs Task Motivation and Description8:32 PARSEC: Aerial Manipulator9:23 Deployment Interface and Payload Design10:06 Mission Architecture for Autonomous Deployment11:39 But what about the real world?12:30 Machine Learning and Nonlinear Vehicle Control17:24 Using learned lifted bilinear models for nonlinear MPC20:27 Learning quadrotor dynamics to improve close-to-ground trajectory tracking21:00 Learning quadrotor dynamics to improve close-to- ground trajectory tracking performance24:00 Planning under uncertainty24:56 Risk-Aware Planning: Chance Constraints28:15 The DARPA Subterranean Challenge29:05 STEP: Stochastic Traversability Evaluation and Planning34:07 Risk-Aware Avoidance of Unknown Dynamic Ostacles42:54 Robust Risk-Based Learning of Disturbances46:41 Learning and Introspective Control (LINC) Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/aiProfessor Christopher PottsProfessor of Linguistics and, by courtesy, Computer ScienceDirector, Stanford Center for the Study of Language and Informationhttp://web.stanford.edu/~cgpotts/Uploaded 18-06-19Consulting Assistant Professor Bill MacCartneySenior Engineering Manager, Applehttps://nlp.stanford.edu/~wcmac/To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224u/ Learn more about your ad choices. Visit megaphone.fm/adchoices

February 27, 2023Thinking Beyond TokensUploaded 20-03-23Evan Cheng of Mysten Labs Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/aiProfessor Christopher Potts and Consulting Assistant Professor Bill MacCartney, Stanford Universityhttp://onlinehub.stanford.edu/ Professor Christopher PottsProfessor of Linguistics and, by courtesy, Computer ScienceDirector, Stanford Center for the Study of Language and Informationhttp://web.stanford.edu/~cgpotts/Uploaded 18-06-19Consulting Assistant Professor Bill MacCartneySenior Engineering Manager, Applehttps://nlp.stanford.edu/~wcmac/To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224u/ Learn more about your ad choices. Visit megaphone.fm/adchoices

"Fixing Media's Business Model" -Frederic Filloux, Monday NoteColloquium 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.Uploaded 13-05-13Learn more: http://bit.ly/WinYX5 Learn more about your ad choices. Visit megaphone.fm/adchoices