Explore every episode of the podcast Stanford Online: University Courses & Lectures

EE402T: Entrepreneurship in Asian High-Tech IndustriesRecent Trends in the Entrepreneurship Ecosystem in IndiaSpeaker: Vish Mishra, ClearstoneUploaded 16-05-17US-ATMC Director Richard Dasher engages Vish in an interactive discussion about what’s going on in the ecosystem for entrepreneurship in India. This session is timed just after TiEcon 2017, so that Vish can comment on the Silicon Valley mega-conference sponsored by “The Indus Entrepreneurs” that is billed as the world’s largest entrepreneurship conference.About the Speaker:Vish Mishra joined Clearstone in March 2002 with over 30 years of leadership and management experience in the high tech industry including software, Internet, networking and telecommunications. He has been listed as one of 51 most influential global Indian men, and the San Jose Mercury News included him among the 10 most influential people in Silicon valley. Vish also served as Conference Chair of TiEcon 2017.To learn more about the Entrepreneurship in Asian High-Tech Industries seminar course, visit http://asia.stanford.edu/?page_id=101 Learn more about your ad choices. Visit megaphone.fm/adchoices

Peter Reinhardt, co-founder and CEO of Segment, shares his experience on finding product market fit.Uploaded 17-05-17 Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationMay 8, 2026This seminar covers: • Integrated learning and planning with neuro-symbolic concepts• A general learning and reasoning framework based on neuro-symbolic concepts• Systems that leverage neuro-symbolic concepts demonstrate superior data efficiency, enable agents to reason and plan more quickly, and achieve strong generalization in novel situations and for novel goalsUploaded 20-05-26Follow along with the seminar schedule: https://stanfordasl.github.io/robotics_seminar/Jiayuan Mao is a Member of Technical Staff at Amazon Frontier AI and Robotics, and an incoming assistant professor at the University of Pennsylvania. Learn more about your ad choices. Visit megaphone.fm/adchoices

http://energyinnovation.stanford.edu/Stanford professors Michael McGehee, Mark Zoback, Chris Somerville and Yi Cui comment on how the world would survive one day with no energy.Uploaded 18-06-12 Learn more about your ad choices. Visit megaphone.fm/adchoices

January 12, 2024Hannah Stuart, UC BerkeleyThe world is rich with complex and varied mechanics, which often leads to robots that tend to avoid contact due to uncertainty. However, this richness also opens opportunities for new robotic mechanisms that creatively harness the local environment. In this talk, I'll focus on two recent case studies that use ambient fluids for resilient and compliant grippers with tactile sensing. These inventions apply to logistics pick-and-place automation, as well as more generalized applications. Time allowing, I will also provide another case study in granular media (i.e. sand) interaction for planetary robotics. Inspired by nature, the goal of this research is to access new and resilient robotic behaviors without an over-reliance on digital computing alone, but rather by harnessing morphological computation alongside active control.Uploaded 23-01-24About the speaker: https://me.berkeley.edu/people/hannah-stuart/ Learn more about your ad choices. Visit megaphone.fm/adchoices

To follow along with the course, visit the course website: https://web.stanford.edu/class/ee259/index.htmlUploaded 23-01-24Reza Nasiri MahalatiAdjunct Professor of Electrical Engineering at Stanford Universityhttps://profiles.stanford.edu/reza-nasiri-mahalatiLearn more about the course and how to enroll: https://online.stanford.edu/courses/ee259-principles-sensing-autonomyTo view all online courses and programs offered by Stanford, visit: http://online.stanford.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

Don Knuth's 27th Annual Christmas Tree LectureDecember 6, 2023This talk is sort of a sequel to “Dancing Links”, the Christmas Lecture of 2018, because there have been surprising new developments since then—stimulated by the work of Christine Solnon at INSA de Lyon.Uploaded 22-01-24When a computer program explores a large space of possibilities, it needs good data structures that are able to undo every tentative decision that has been made, thereby allowing new decisions to take their place.The dancing links idea is a simple modification of a 60-year-old method (doubly linked lists), which is particularly suited to undoing. As a result, algorithms based on dancing links have become the method of choice for exploring the set of solutions to a huge variety of combinatorial problems.The dancing cells idea, similarly, is a simple modification of a 30-year-old method (sparse-set representation), and it provides efficient support for that same wide class of applications. Indeed, programs based on dancing cells often turn out to be significantly faster than the analogous programs based on dancing links. And again, there is exquisite choreography!See more from Don Knuth: https://online.stanford.edu/donald-e-knuth-lectures► Check out our entire catalog of courses and programs: https://online.stanford.edu/explore Learn more about your ad choices. Visit megaphone.fm/adchoices

Terry WinogradStanford UniversityThis seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI.Uploaded 24-05-13Learn more about Stanford's Human-Computer Interaction Group: https://hci.stanford.eduLearn about Stanford's Graduate Certificate in HCI: https://online.stanford.edu/programs/human-computer-interaction-graduate-certificateView the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMyupDF2O00r19JsmolyXdD&disable_polymer=true Learn more about your ad choices. Visit megaphone.fm/adchoices

Harnessing Data for Social Impact: Empowering Communities through Visualization and Social ComputingJanuary 12, 2024Narges Mahyar of University of Massachusetts AmherstUploaded 22-01-24Today's world faces several complex problems, such as climate change, transportation, infrastructure, education, and healthcare. Technology, if designed right, can play an essential role in informing people, raising awareness, sharing data, and connecting communities and decision-makers to take data-informed actions. In this talk, I present examples of my recent work on building and studying community-centered tools to empower the general public to engage in real-world socio-technical problems such as urban planning and climate change and bring their ideas and comments for shaping future policies. These examples demonstrate my multidisciplinary approach in combining information visualization, HCI, applied ML, and human-centered AI to design and build innovative tools and technologies to address complex socio-technical problems. I then describe a vision for expanding my research to further advance democracy, equity, well-being, and sustainability by fostering the inclusion and empowerment of marginalized populations. I also briefly present my work on inclusive data visualization to empower the public to understand the data that is increasingly part of their lives and make better data-informed decisions. I close with a discussion of how my work can be applied to other socio-technical problems, such as health informatics and learning sciences.About the speaker:Narges Mahyar is an Assistant Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. Currently she holds a position as a Radcliffe Fellow at Harvard University. Narges s research falls at the intersection of Human-Computer Interaction, Information Visualization, Social Computing, and Design. She designs, develops, and evaluates novel social computing and visualization techniques that help people explore, understand, and make data-informed decisions. In addition, over the past nine years, she has focused on an emerging interdisciplinary area of Digital Civics, which explores new strategies for scaling and diversifying public engagement in massive decision-making processes related to civic issues. She holds a Ph.D. in Computer Science from the University of Victoria, an MS in Information Technology from the University of Malaya, and a BS in Electrical Engineering from Tehran Azad University. She was a postdoctoral fellow in the Department of Computer Science at the University of British Columbia from 2014 to 2016 and in the Design Lab at the University of California San Diego from 2016 to 2018. Her recognition in the field has been repeatedly confirmed through many accolades for her research, including five Best Paper Awards from CHI 2023, Eurovis 2022, CSCW 2020, the Council of Educators in Landscape Architecture 2017, and VAST 2014; and three Best Paper Honorable Mention Awards from TiiS 2022, DIS 2021 and ISS 2016. 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/aiFor information on the graduate course, CS229 Machine Learning, including the syllabus and course materials, visit the course's website: https://cs229.stanford.edu/index.html-spr26Uploaded 29-07-26Teaching Team:Chris Ré, Professor of Computer ScienceTengyu Ma, Assistant Professor of Computer Science Learn more about your ad choices. Visit megaphone.fm/adchoices

To follow along with the course, visit the course website: https://web.stanford.edu/class/ee259/index.htmlUploaded 22-01-24Reza Nasiri MahalatiAdjunct Professor of Electrical Engineering at Stanford Universityhttps://profiles.stanford.edu/reza-nasiri-mahalatiLearn more about the course and how to enroll: https://online.stanford.edu/courses/ee259-principles-sensing-autonomyTo view all online courses and programs offered by Stanford, visit: http://online.stanford.edu Learn more about your ad choices. Visit megaphone.fm/adchoices

In the last five years, advances in perovskite semiconductor technology have improved power conversion efficiency of solar cells at an impressive rate. Are these semiconductors poised to revolutionize the solar industry? Join Professor Michael McGehee as he explores the potential and the challenges of this exciting new technology.Uploaded 18-10-17You Will Learn •What makes perovskite semiconductors so great for solar cells•How challenges with stability and lead toxicity are being tackled•How industry can scale up and bring this technology to market, and how it can compete with conventional solar technologyAbout the Speaker:Michael McGehee is a professor in the Stanford School of Engineering's Material Science department. His research group studies the electrical and optical properties of organic semiconductors; self-assembly of inorganic nanostructures with organic structure directing agents; and fabrication of low-cost organic photovoltaic cells, light-emitting diodes and transistors. His primary interests and areas of expertise are organic electronics, patterning materials at the nanometer length scale, and developing materials for renewable energy and sustainability applications. Because McGehee has extensive experience with LEDs and lasers, future research projects may involve these areas as well.Presented By Online Stanford Energy Technology Programs (http://stanford.io/2bG9hqO) Learn more about your ad choices. Visit megaphone.fm/adchoices

In the webinar, Prof. Jennifer Aaker and David Hornik of August Capital discuss the importance of stories in fueling growth and innovation in your company as well as the role of stories in shaping how others view your brand. To learn more about Prof. Aaker's course and further your understanding of brand storytelling and innovation visit: http://create.stanford.edu/courses/power-of-stories.phpUploaded 14-06-13In an environment characterized by 24/7 news cycles and interconnected customers with the power to rapidly communicate their likes and dislikes to millions at the push of a button, organizations are challenged to keep their brands fresh, relevant, and differentiated. Companies must rethink their approach and consider the power of the narrative to build a strong and innovative brand.Presented ByThe Stanford Innovation and Entrepreneurship Certificate program. Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationLecture 12 — Information Extraction and Classic Visual RecognitionNote: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.Uploaded 18-10-26Read the companion textbook, Principles of Robot Autonomy, free online: https://porabook.comFollow along with the latest course schedule and syllabus: https://stanfordasl.github.io/PoRA-ISpeaker: Prof. Marco PavoneDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation. Full playlist: https://www.youtube.com/playlist?list=PLR9iNyexfIkk #StanfordOnline #RobotAutonomy #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationThis lecture is from Stanford EE292R AI and Data for Science, and it covers mechanistically interpretable models of computation in the early visual system.Uploaded 16-10-26Follow the course schedule: https://aida4sci.stanford.edu/schedule.html#fall-2026Speaker: Stephen Baccus, Professor of Neurobiology at Stanford University#ComputationalNeuroscience #MechanisticInterpretability #Neuroscience Learn more about your ad choices. Visit megaphone.fm/adchoices

http://energyinnovation.stanford.edu/Professor Yi Cui studies nanoscale phenomena and their applications broadly defined. Research Interests:Uploaded 18-06-12* Nanocrystal and nanowire synthesis and self-assembly * Electron transfer and transport in nanomaterials and at the nanointerface * Nanoscale electronic and photonic devices, batteries, solar cells, microbial fuel cells, water filters and chemical and biological sensors.Enroll today in Professor Cui's Batteries course: http://scpd.stanford.edu/search/publicCourseSearchDetails.do?method=load&courseId=14427375 Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationLecture 11 — Image Processing, Feature Detection and DescriptionNote: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.Uploaded 17-10-26Read the companion textbook, Principles of Robot Autonomy, free online: https://porabook.comFollow along with the latest course schedule and syllabus: https://stanfordasl.github.io/PoRA-ISpeaker: Prof. Marco PavoneDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation. Full playlist: https://www.youtube.com/playlist?list=PLR9iNyexfIkk #StanfordOnline #RobotAutonomy #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationMay 1, 2026This seminar covers: • Learning and control for multi-agent interactions• Game-theoretic planning and control for robots• Learning in interactive domains, including imitation learning and reinforcement learningUploaded 20-05-26Follow along with the seminar schedule, visit: https://stanfordasl.github.io/robotics_seminar/Negar Mehr is an assistant professor in the Mechanical Engineering Department at the University of California at Berkeley. She runs the ICON Lab. Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn how to explore, analyze, and leverage data sets of any scale in this 60-minute webinar with Google's Search Scientist and Stanford Instructor Rajan Patel.Uploaded 22-03-11Learn more: http://scpd.stanford.edu/courses/data-mining-courses.jsp Learn more about your ad choices. Visit megaphone.fm/adchoices

View the details of our Drug Development: From Discovery to Commercialization Graduate Certificate:🎓 https://online.stanford.edu/programs/drug-development-discovery-commercialization-graduate-certificateWhat does it take to move a discovery from the lab into the clinic, and who's equipped to lead that work? Translational medicine is the discipline sitting at that critical crossroads — bridging groundbreaking research and real-world patient care.Uploaded 18-09-26Listen to and watch faculty leaders of Stanford's Master of Science in Translational Research and Applied Medicine (M-TRAM) program, Dean Felsher, MD, PhD, and Joanna Liliental, PhD, have a lively conversation and Q and A session.In this webinar, they discuss the real challenges facing translational research today, the opportunities emerging at the intersection of science and industry, and what it takes to train the next generation of innovators ready to turn discovery into impact.Speakers:Dean Felsher, MD, PhD, is a Professor of Medicine-Oncology at Stanford University School of Medicine and Director of the Translational Research and Applied Medicine (TRAM) Program, which he has led since 2011. His laboratory investigates how oncogenes initiate and sustain cancer, and he has pioneered model systems showing that inactivating a single oncogene, such as MYC, can be sufficient to reverse tumor growth — a concept known as "oncogene addiction." Joanna Liliental, PhD, is Executive Director of Stanford's Master's in Translational Research and Applied Medicine (M-TRAM) program, Director of the Translational Applications Service Center (TASC), and Associate Director of the Translational Research and Applied Medicine (TRAM) Program. Since 2011, she has worked alongside Dean Felsher, mentoring researchers as they move scientific findings from the lab into clinical application, including biomarker research for early cancer detection. The graduate course TRAM223B Drug Development and Clinical Trials will be available for the winter quarter. Enrollment begins October 19. Learn course details:🎓 https://online.stanford.edu/courses/tram223b-drug-development-and-clinical-trials Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationTo follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/Chapters:00:00:00 Welcome00:03:43 Difference from last year’s edition00:05:01 Class logistics00:12:42 Timeline00:16:56 Tokenization00:37:27 Word2vec (CBOW, Skip-gram)00:48:26 RNN, LSTM00:55:18 Attention00:57:16 Self-attention mechanism00:59:54 Query, key, value01:09:35 Transformer architecture01:12:19 Input01:16:27 Transformer Encoder01:18:19 Transformer Decoder01:22:16 Computational tricks01:27:35 End-to-end exampleUploaded 28-09-26Afshine Amidi is an Adjunct Professor at Stanford University.Shervine Amidi is an Adjunct Professor at Stanford University.Follow the playlist: https://youtube.com/playlist?list=PLakGfbKCei80&si=HF2tNywj7nXIQq8X 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/aiFor information on the graduate course, CS229 Machine Learning, including the syllabus and course materials, visit the course's website: https://cs229.stanford.edu/index.html-spr26Uploaded 29-07-26Teaching Team:Chris Ré, Professor of Computer ScienceTengyu Ma, Assistant Professor of Computer Science Learn more about your ad choices. Visit megaphone.fm/adchoices

Stanford Engineering Hero LectureIn this lecture, Stanford University President John L. Hennessy leads a discussion with Stanford Engineering Hero Jim Clark, the entrepreneur and computer scientist best known as a founder of Silicon Graphics, Netscape and several other companies. Jim Clark is a creator of the computer graphics technology revolutionized the design process for everything from bridges to airplanes to film and TV special effects.Uploaded 26-06-13#computergraphics Learn more about your ad choices. Visit megaphone.fm/adchoices

http://scpd.stanford.edu/innovation-and-entrepreneurship/Innovation = creativity + implementation. In this webinar, Professor Bob Sutton provides practical approaches on turning insights into organizational action—the "implementation" part of the innovation equation. Learn how skilled leaders turn smart-talk into action, how to overcome dysfunctional internal competition, and the power of adopting a small wins strategy.Uploaded 23-09-12This webinar is presented by The Stanford Center for Professional Development in association with the Stanford Innovation and Entrepreneurship Certificate program. Knowing how to incorporate innovation in your work and teams is crucial for creating thriving workplaces and careers. The Stanford Innovation and Entrepreneurship professional certificate program will teach participants essential skills and effective strategies for working in and managing innovative organizations -- and for starting new ones. In classes designed to engage and inspire, you will learn by doing from some of Stanford's best in the field.Browse courses: http://scpd.stanford.edu/innovation-and-entrepreneurship/individual/courses/marketing-innovation.phpApply now: https://scpd.stanford.edu/portal/applications/applicationProfile.do?method=loadApplicationIndex&applicationProfileId=160786720:00 Introduction0:10 Meet the Speakers2:19 A Simple Formula9:06 McKinsey's 'War for Talent studyin 77 companies Corporate Officers' Reports10:02 Overcoming knowing doing gaps10:50 Avoid the smart-talk trap Talk as a substitute for action12:43 Whytalk substitutes for action14:18 Linkingtalkandaction: Put people in management positions who know the organization's work16:54 Linkingtalkandaction: Stop the complaints step up the action19:01 Linkingtalk and action: Simple language and repetition19:55 Simple strategies are easier to execute22:32 When competition tums friends into enemies27:23 Averting destructive internal competition Meeding out the rotten apples28:33 Usea"small wins" startegy29:58 The CEO and the sales campaign Her people were freaked out andoverwhelmed by a crucial sales campaign31:58 Parting thought #134:26 Parting thought #236:48 Innovators aren't born that way. They learn to do things DIFFERENTLY38:20 Innovation Masters Series: Design Thinking and the Art of Innovation49:28 Save the Date: Upcoming Innovation Offerings Learn more about your ad choices. Visit megaphone.fm/adchoices

http://scpd.stanford.edu/computerSecurity/ - The way malware is being distributed has undergone a fundamental shift, with attackers focusing on planting "drive-by downloads" on legitimate sites in an automated fashion, taking advantage of vulnerabilities in hosting platforms, web applications, and structural vulnerabilities in web sites. This webinar presents data analyzing the growth of infections, and show how webmasters can take a holistic approach to preventing, detecting, containing, and recovering from such attacks.Uploaded 22-03-11Speaker: Neil Daswani, Co-founder, Dasient, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more about Stanford's online Healthcare AI programs: https://stanford.io/3NEt7uECheck out the AI in Healthcare series playlist:https://stanford.io/3NEt7uEMatt Lungren, Stanford University - https://profiles.stanford.edu/matthew-lungrenJustin Norden, Stanford University - https://profiles.stanford.edu/justin-nordenGuest speaker: Eric Larsen, President, TowerBrook Advisors; venture partner, Thrive Capital and SignalFireIn this episode of the Stanford Healthcare AI Podcast, Justin and Matt sit down with Eric Larsen, President at TowerBrook Advisors and venture partner at Thrive Capital and SignalFire, to explore whether AI has already begun to bend the U.S. healthcare cost curve, and why this may be healthcare’s Oppenheimer moment. They unpack a controversial paper on autonomous AI exceeding physicians, debate how far and how fast AI will displace “prestige professions,” and discuss GLP‑1s, site‑of‑care shifts, and a cost-curve paper that suggests nearly $1T in unexpected savings. They ask: What happens when medical expertise becomes abundant and can incumbent health systems adapt in time?Uploaded 24-09-26 Learn more about your ad choices. Visit megaphone.fm/adchoices

Innovations in electrical engineering have led to major applications and products that fundamentally alter our lifestyles -- from personal computing to environmental sensing. How will we tackle the opportunities and challenges ahead in this dynamic and changing field? Simon Wong, Stanford University's Vice Chair of Electrical Engineering, and Stephen P. Boyd, Professor of Electrical Engineering, will discuss these challenges and several new EE courses that can help you capture these emerging opportunities.Uploaded 22-03-11Learn more: http://scpd.stanford.edu/courses/electrical-engineering-courses.jsp Learn more about your ad choices. Visit megaphone.fm/adchoices

Lecture 3 — Calculus of VariationsRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_3.pdf Speaker: Dr. Daniele GammelliBio: Dr. Daniele Gammelli is the Research Director of the Machine Intelligence for Robot Autonomy Laboratory at the Italian Institute of Artificial Intelligence (AI4I), and a Researcher in the Department of Aeronautics and Astronautics at Stanford University. Since 2022, he has been a Research Fellow at the Center for Aerospace Autonomy Research (CAESAR) at Stanford and, until 2025, at the Center for Automotive Research at Stanford (CARS). He received his Ph.D. in Machine Learning and Mathematical Optimization from the Technical University of Denmark (DTU) in 2022, where his doctoral thesis was nominated for the DTU Best Thesis of the Year Award and the DTU Young Researcher Award. Dr. Gammelli’s research focuses on developing the algorithmic foundations and system-level methodologies that enable AI-powered autonomous systems to operate safely, efficiently, and reliably in high-stakes environments, with an emphasis on aerospace autonomy and next-generation mobility systems.Uploaded 11-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

Lynda Smith brings over 25 years of experience in marketing, sales and general management across a diverse set of industries and has spent the last 15 years working in the area of high technology products and services. In her capacity as SVP Marketing/Chief Marketing Officer for a number of companies including Genesys Telecommunications Laboratories, Nuance, Genpact, Jive, WeVideo and now Twilio, Lynda has been responsible for the full end-to-end marketing responsibilities of an organization. As General Manager of Nuance's call center division, Lynda had P and L responsibility for one of the core businesses of the company with oversight of engineering, sales, services, marketing and M and A activity. Her industry experience includes aerospace, telecommunications, enterprise software, global outsourcing, digital media and social.Uploaded 24-07-12Lynda's global background is extensive with hands on experience in driving business in the US, Europe, India, China and other major markets. Lynda has an undergraduate degree in liberal arts from Simpson College and an MBA from the Wharton School of Business at the University of Pennsylvania. She is on the faculty of Stanford University where she serves as a lecturer in Global Entrepreneurial Marketing and Professional Education programs.Enroll today in Global Entrepreneurial Marketing: http://scpd.stanford.edu/search/publicCourseSearchDetails.do?method=load&courseId=12724 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 this CS 153 Frontier Systems lecture, Periodic Labs cofounders Liam Ferriss and Dorje Chubak — veterans of OpenAI's post-training team and DeepMind's Genome project, respectively — walked students through their eleven-month-old mission to apply AI to the physical world, specifically using autonomous labs to accelerate the discovery of new materials including high-temperature superconductors.Uploaded 29-09-26Operating out of a 40,000-square-foot Menlo Park facility where machine learning researchers work alongside physicists and chemists, their AI system (named Onnes, after the scientist who discovered superconductivity in 1908) runs a continuous loop of computational prediction, robotic synthesis, and experimental verification — closing the feedback cycle between digital intelligence and physical reality in a way no purely in-silico approach can. A key early lesson was abandoning their original plan of spending the first year purely computational: building smaller, semi-manual labs first allowed them to direct the research program and understand what to scale, faster. Dorje emphasized that the results of applying LLMs to actual atoms have exceeded even their own expectations, while Liam stressed that sample efficiency in reinforcement learning — not benchmark climbing — is the core technical frontier when physical experiments can't be arbitrarily scaled up the way digital rollouts can. They closed by pushing back on student anxiety about AGI displacing their careers, arguing that most scientific domains remain largely untouched by LLMs, that the bar to make meaningful AI-physical world progress is still surprisingly low, and that the history of civilization is essentially a materials story — making their work, in their view, among the highest-leverage bets anyone can make right now. Learn more about your ad choices. Visit megaphone.fm/adchoices

Lecture 18 — Model-free Reinforcement Learning: Policy OptimizationRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_4.pdf Speaker: Dr. Daniele GammelliBio: Dr. Daniele Gammelli is the Research Director of the Machine Intelligence for Robot Autonomy Laboratory at the Italian Institute of Artificial Intelligence (AI4I), and a Researcher in the Department of Aeronautics and Astronautics at Stanford University. Since 2022, he has been a Research Fellow at the Center for Aerospace Autonomy Research (CAESAR) at Stanford and, until 2025, at the Center for Automotive Research at Stanford (CARS). He received his Ph.D. in Machine Learning and Mathematical Optimization from the Technical University of Denmark (DTU) in 2022, where his doctoral thesis was nominated for the DTU Best Thesis of the Year Award and the DTU Young Researcher Award. Dr. Gammelli’s research focuses on developing the algorithmic foundations and system-level methodologies that enable AI-powered autonomous systems to operate safely, efficiently, and reliably in high-stakes environments, with an emphasis on aerospace autonomy and next-generation mobility systems.Uploaded 13-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

http://www.techamerica.org/stanford-executive-institute - The Stanford Executive Institute has a proven track record of teaching tools and approaches to prepare the technology industry's senior leadership to face the sector's unique set of challenges. In this video, Tom Byers, professor in Stanford's Management Science and Engineering Dept and Academic Director of The Stanford Executive Institute, discusses how this program gives you the tools to be a leader in your enterprise.Uploaded 23-03-11 Learn more about your ad choices. Visit megaphone.fm/adchoices

Peter DeMarzo is the Mizuho Financial Group Professor of Finance, and currently Senior Associate Dean for Academic Affairs, at the Stanford Graduate School of Business. He earned his BA in cognitive science and applied mathematics from the University of California, San Diego, and his MS in operations research and PhD in economics from Stanford University.Uploaded 17-07-13In addition to his experience at the Stanford Graduate School of Business, he has taught at the Haas School of Business and the Kellogg Graduate School of Management and was a visiting scholar at the Hoover Institution. He is a member of the National Bureau of Economic Research and past president of the Western Finance Association. His research is in the area of corporate finance, asset securitization, financial contracting, and market regulation. Recent work has examined issues of the optimal design of securities, optimal compensation mechanisms, regulation of insider trading and broker-dealers, bank capital regulation, and the influence of information asymmetries on corporate disclosures and investment.Peter's research has received awards including the Barclays Global Investors/Michael Brennan best paper award from the Review of Financial Studies, and the Western Finance Association Corporate Finance Award. He won the Sloan Teaching Excellence award in 2004 and 2006, and the Cheit Outstanding Teaching Award in 1998. He is co-author of a leading corporate finance textbook, and currently teaches MBA and PhD courses in Corporate Finance and Financial Modeling.Peter teaches Financing Innovation: Valuing Projects and Firms, an online course in the Stanford Innovation and Entrepreneurship professional certificate - http://create.stanford.edu/courses/financing-innovation.php Learn more about your ad choices. Visit megaphone.fm/adchoices

- Explore these concepts and more in the UI/UX Design for AI Products course: https://bit.ly/stf-aid-webinar- Learn how to build intelligent AI agents: https://online.stanford.edu/programs/agentic-ai- Browse all Stanford Online AI courses: https://online.stanford.edu/artificial-intelligence/courses-and-programsUploaded 29-09-26What happens when AI agents are designed to simulate human behavior?In this Stanford Online webinar delivered in collaboration with Global Alumni, Professor Michael Bernstein explores the emerging possibilities of AI agents and their ability to model, interact with, and simulate aspects of human behavior. The session offers a closer look at how advances in artificial intelligence are changing the way we think about human-AI interaction, simulation, and the design of intelligent systems.Drawing on Stanford research in human-AI interaction and social computing, Professor Bernstein examines the opportunities and challenges that arise as AI systems become increasingly capable of representing human behaviors and interactions. 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/aiFor information on the graduate course, CS229 Machine Learning, including the syllabus and course materials, visit the course's website: https://cs229.stanford.edu/index.html-spr26Uploaded 29-07-26Teaching Team:Chris Ré, Professor of Computer ScienceTengyu Ma, Assistant Professor of Computer Science Learn more about your ad choices. Visit megaphone.fm/adchoices

Uploaded 30-09-26 Learn more about your ad choices. Visit megaphone.fm/adchoices

The game is changing. Products from the West used to be inherently desirable and localization was adequate to capture market share, but these days are gone and organizations are increasingly designing for a new global landscape with different requirements and expectations. In this webinar, you'll learn about models for global design and some of the key challenges and opportunities in this new and exciting space.Uploaded 08-04-11Learn more about professional programs offered by the Stanford Center for Professional Development by visiting http://scpd.stanford.edu/programs/professional-certificates. Learn more about your ad choices. Visit megaphone.fm/adchoices

Lecture 2 — Optimization TheoryRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_2.pdf Speaker: Prof. Marco PavoneBio: Dr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation.Uploaded 11-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

http://scpd.stanford.edu/innovation-and-entrepreneurship/Perry Klebahn is an entrepreneur to the core. He received his Masters from Stanford in the product design program in 1991 and has taught there periodically since 1996. He left Stanford with his degree and his design project -- a snowshoe. He turned his project into a business, creating the Atlas Snowshoe Company. His experience taught him several things: you can't do anything significant on your own, you need a team; and engineering something is not nearly as much fun as marketing what you have engineered. In 2000, Perry sold his snowshoe business and moved to Southern California to run sales and marketing for Patagonia, an outdoor clothing brand. There, he got a chance to market on a global scale, learning to balance the need to drive sales while building a brand with important commitments and a sustainability message. In 2007 he took on a new challenge at Timbuk2, the original bike messenger bag company. As CEO of the San Francisco-based company, Perry focused on delivering custom products and an innovative customer experience. He implemented many techniques used at the d.school at Timbuk2. A founding faculty member of the d.school, Perry teaches classes including: Launchpad, Design Garage, d.Health, and d.leadership. He runs the executive programs for the d.school.Uploaded 27-09-12Professor Klebahn teaches in the Stanford Innovation and Entrepreneurship professional certificate program. This certificate delivers essential skills and effective strategies for working in and managing innovative organizations - and for starting new ones. Designed to engage and inspire, be prepared to get out of your chair and use your whole brain, because creativity and innovation take practice. A joint offering of the Stanford Center for Professional Development at the School of Engineering and the Stanford Graduate School of Business. Learn more: http://scpd.stanford.edu/innovation-and-entrepreneurship/Apply now: http://bit.ly/SoKSVl Learn more about your ad choices. Visit megaphone.fm/adchoices

- Explore these concepts in the AI-Powered Product Innovation course: https://bit.ly/pin-stf-webinar- Learn how to build intelligent AI agents: https://online.stanford.edu/programs/agentic-ai- Browse all Stanford Online AI courses: https://online.stanford.edu/artificial-intelligence/courses-and-programsUploaded 30-09-26Artificial intelligence is transforming how organizations approach problem-solving, decision-making, and innovation—but knowing where AI can create reliable value is just as important as knowing where it cannot.In this Stanford Online webinar delivered in collaboration with Global Alumni, Professor Michael Bernstein explores the practical realities of AI adoption and the role of human judgment in an increasingly AI-enabled workplace. The session examines how to distinguish between problems AI can solve reliably and those that continue to require human expertise, judgment, and oversight.Drawing on research and practical frameworks for human-AI interaction, Professor Bernstein explores how leaders and professionals can evaluate AI opportunities more thoughtfully, assess potential risks, and determine where AI can genuinely augment human capabilities. Learn more about your ad choices. Visit megaphone.fm/adchoices

Donna co-teaches Global Entrepreneurial Marketing at Stanford in the School of Engineering and to entrepreneurial executives worldwide. She has recently taught groups of entrepreneurs from France, Poland, Denmark, Finland, Chile, Singapore and other parts of Asia. She also is running her third startup. Yiftee is about Microgifts - a simple concept integrating merchants, social media and mobile. Now you can give your friends a real latte, beer or cupcake to say Happy Birthday, thanks or just because. Friends stop by the merchants and pick them up, driving traffic and repeat business. Donna uses her 25 yrs of hands-on entrepreneurship to bring her lessons to life, often driving home concepts by coaching students in their own new businesses.Uploaded 24-07-12Prior to Yiftee, Donna was CEO of Big Tent Design, a fast-growth Internet company that provides a free web software platform for groups. BigTent is now a subsidiary of Federated Media, and continues to help community groups such as parenting clubs stay organized and vibrant online and off with over a million "chief household officers" using it on a regular basis. Donna joined Big Tent from Mohr, Davidow Ventures (MDV) where she was a Partner for almost nine years, serving as VP Marketing in sixteen MDV-funded start-ups. Prior to MDV, Donna was VP Marketing at Clarify Inc., a CRM pioneer that she helped establish, grow and take public. Her career began at Sun Microsystems in product management.Enroll today in Global Entrepreneurial Marketing: http://scpd.stanford.edu/search/publicCourseSearchDetails.do?method=load&courseId=12724 Learn more about your ad choices. Visit megaphone.fm/adchoices

Model-free Reinforcement Learning: Value-based MethodsRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_4.pdf Speaker: Dr. Daniele GammelliBio: Dr. Daniele Gammelli is the Research Director of the Machine Intelligence for Robot Autonomy Laboratory at the Italian Institute of Artificial Intelligence (AI4I), and a Researcher in the Department of Aeronautics and Astronautics at Stanford University. Since 2022, he has been a Research Fellow at the Center for Aerospace Autonomy Research (CAESAR) at Stanford and, until 2025, at the Center for Automotive Research at Stanford (CARS). He received his Ph.D. in Machine Learning and Mathematical Optimization from the Technical University of Denmark (DTU) in 2022, where his doctoral thesis was nominated for the DTU Best Thesis of the Year Award and the DTU Young Researcher Award. Dr. Gammelli’s research focuses on developing the algorithmic foundations and system-level methodologies that enable AI-powered autonomous systems to operate safely, efficiently, and reliably in high-stakes environments, with an emphasis on aerospace autonomy and next-generation mobility systems.Uploaded 13-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

"What Asia Entrepreneurship Means for Silicon Valley" -David Brunner- moduleQJim Nguyen- Kynded Yukai Chou- YukaiChou.comUploaded 22-07-13This lecture series presented by the US-Japan Technology Management Center and the US-Asia Technology Management Center explores patterns and challenges of entrepreneurship in Asia. A wide range of expert executive guest speakers will discuss the latest exciting new trends in entrepreneurship, start-up companies and investment in major Asian economies. Explore the culture of entrepreneurship in Asian countries and the aggressive change happening in business across this area.Learn more: http://stanford.io/16vBuLV Learn more about your ad choices. Visit megaphone.fm/adchoices

Stanford-IATA Aviation Management certificate program webinar covering five critical competencies for working in the aviation industry.Info: http://aviation.stanford.edu/Uploaded 08-04-11In today's fast-paced, global environment, all leaders of teams in air transport ranging from frontlines, new and senior managers, working in an airline, travel agency, freight forwarding company, airport, or even in a Civil aviation authority face a number of challenges. In addition to operational excellence - strategy, execution, leadership, innovation, and decision-making are five critical competencies for leaders and business managers in the aviation industry to overcome today and tomorrow air transport industry challenges. Our speakers will share why the 5 competencies are important, how they are embedded in the Stanford-IATA Aviation Management Certificate, as well as some specific success stories within the aviation industry. Learn more about your ad choices. Visit megaphone.fm/adchoices

Watch new lectures every week in this seminar series at http://bit.ly/UnxxnS The theme for Autumn 2012 is "Green Technologies in Transportation: Recent Developments from Asia." Students will learn about technology and business trends, innovations, opportunities in Asia and Japan, and implications for US firms and researchers. The course will eature distinguished speakers from industry and government.Uploaded 04-10-12Topics Include New materials, fuels, and energy storage for vehicles Automobile and aircraft design Smart grids and intelligent transportation systems Mobile mesh networksInstructorsRichard Dasher, Consulting Professor, Electrical EngineeringGraduate seminars may be viewed online at no charge. Students seeking credit for a 1-unit seminar course need to enroll in another course in order to meet the 3-credit unit enrollment requirement.Register for this seminar series today! http://bit.ly/QLrXot Learn more about your ad choices. Visit megaphone.fm/adchoices

Enroll in the full course: https://online.stanford.edu/courses/xeiet215-next-generation-energy-storage-batteries-grid-solutions?utm_medium=Video&utm_term&utm_campaign=XEIET215Previewf&utm_source=YoutubeStanford professor Yi Cui breaks down one of the leading candidates for grid storage: redox-flow batteries. Holding energy in liquids rather than solid cells could change how storage scales.Uploaded 07-10-26What you'll learn:• Why capacity is set by tank size rather than cell size• How flow batteries let energy and power scale independently• The three obstacles left: how much the liquids can carry, whether the molecules survive repeated cycling, and the cost of the membrane Learn more about your ad choices. Visit megaphone.fm/adchoices

Enrollment in the graduate course AA228 Decision Making Under Uncertainty is open now: https://stanford.io/AA228Hear about this course and learn why Associate Professor of Aeronautics and Astronautics, Mykel Kochenderfer, loves it. Discover what you'll learn and how it will impact your decision-making process.Uploaded 28-07-26The Decision Making Under Uncertainty graduate course is designed to increase awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Browse all graduate courses available this autumn quarter: https://stanford.io/Autumn-2026View past AA228 Decision Making Under Uncertainty lectures here: https://www.youtube.com/playlist?list=PLoROMvodv4rNXnHUlDJ1jnvZgNN5Q60d3 Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationLecture 1 — Course Overview; Introduction to Nonlinear OptimizationRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_1.pdf Speaker: Prof. Marco PavoneBio: Dr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation.Uploaded 11-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices

http://scpd.stanford.edu/public/category/courseCategoryCertificateProfile.do?method=load&from=courseprofile&certificateId=8151942 Learn how value-driven Enterprise Risk Management meets the challenges of integrating management of all the downside risks a healthcare organization faces, plus how to capitalize on uncertainties in the value creation opportunities driving the short- and long-term prosperity of the enterprise.Uploaded 19-04-11 Learn more about your ad choices. Visit megaphone.fm/adchoices

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationLecture 8 — Robotic Sensors and Introduction to Computer VisionNote: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.Uploaded 09-10-26Read the companion textbook, Principles of Robot Autonomy, free online: https://porabook.comFollow along with the latest course schedule and syllabus: https://stanfordasl.github.io/PoRA-ISpeaker: Prof. Marco PavoneDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation. Full playlist: https://www.youtube.com/playlist?list=PLR9iNyexfIkk #StanfordOnline #RobotAutonomy #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices