Stanford Online: University Courses & Lectures

For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai

Uploaded 05-06-26

To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch

Follow along with the course schedule and syllabus: https://cs336.stanford.edu/

Percy Liang
Professor of Computer Science (and courtesy in Statistics)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV

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In this 2nd webinar, we will switch from threat to response options. We will introduce a simple conceptual framework to help executives and managers think about the possible ways their companies can respond to the low cost challenge. Should they confront the LCCs in their market segments and/or distance the business from LCCs by opening up a performance leadership gap (significantly better products or services) and/or distance the business from low cost competitors by building deep and intimate relationships with customers? We will look at examples of companies who have implemented one or more of these strategies and the challenges they have faced in implementing the chosen options.

Uploaded 17-04-13

0:00 Introduction
0:58 Value propositions have three core elements
12:39 Products and services emphasizing relational value and price value typically capture a growing share of the market over time
13:50 Companies have three basic options for responding to low cost competition
17:18 Move into lower tiers of the market and challenge directly (either through organic growth or acquisition)
27:07 Gillette (P and G) has been successful at increasing performance value over time
27:49 Option 2: Distance business from low cost competitors by increasing performance value
31:50 A DSP example from the petrochemical industry
33:29 SKF has had to make a number of acquisitions to enable it to create better solutions for customers
34:10 Distance business from low cost competitors by increasing relational value
34:59 Orica's response was to offer customers blasting solutions
39:05 Low cost competition is a big and growing challenge for many leading companies and it won't go away and you must respond to it!

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

May 22, 2026
Model Matters: Leveraging Geometry in Robot Learning

This seminar covers:
• How to leverage geometric structural priors in robot learning
• A summary of recent work on this topic
• Predictions about the future

Uploaded 04-06-26

Follow along with the seminar schedule: https://stanfordasl.github.io/robotics_seminar/

Robert Platt is an associate professor in the Khoury College of Computer Sciences at Northeastern University.

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"Microsoft Research and the Evolution of Computing" -Rick Rashid, Microsoft Research
Colloquium on Computer Systems Seminar Series (E380) 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 26-04-13

Learn more: http://bit.ly/WinYX5

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

May 21, 2026
This seminar covers:
• The evolution from language models to native multimodal systems
• Focus on the architectural and training principles that transfer from the LLM paradigm
• Challenges introduced by multimodal learning
• The building blocks of modern multimodal LLMs, including modality representations, autoregressive modeling, and reasoning capabilities inherited from strong language models
• Emerging directions in multimodal architecture design, including sparsity and modality specialization

Uploaded 04-06-26

Follow along with the seminar schedule. Visit: https://web.stanford.edu/class/cs25/

Guest Speaker: Victoria Lin (Thinking Machines)

Instructors:
• Steven Feng, Stanford Computer Science PhD student and NSERC PGS-D scholar
• Karan P. Singh, Electrical Engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab
• Michael C. Frank, Benjamin Scott Crocker Professor of Human Biology Director, Symbolic Systems Program
• Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Co-Founder and Senior Fellow of the Stanford Institute for Human-Centered Artificial Intelligence (HAI)

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"Predicting and Preventing Asteroid Impacts: The B12 Foundation Sentinel Space Telescope" -Ed Lu, B612 Foundation
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Uploaded 26-04-13

Learn more: http://bit.ly/WinYX5

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

May 28, 2026
Serving Transformers: Lessons from the Trenches of Production Inference

This seminar covers insights, lessons, and gnarly scars from serving transformer model inferences at the scale of thousands of GPUs.

Uploaded 04-06-26

Follow along with the seminar schedule. Visit: https://web.stanford.edu/class/cs25/

Guest Speaker: Charles Frye (Modal)

Instructors:
• Steven Feng, Stanford Computer Science PhD student and NSERC PGS-D scholar
• Karan P. Singh, Electrical Engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab
• Michael C. Frank, Benjamin Scott Crocker Professor of Human Biology Director, Symbolic Systems Program
• Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Co-Founder and Senior Fellow of the Stanford Institute for Human-Centered Artificial Intelligence (HAI)

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This 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.

Uploaded 02-05-13

Learn more: http://stanford.io/16vBuLV

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For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai

Uploaded 04-06-26

To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch

Follow along with the course schedule and syllabus: https://cs336.stanford.edu/

Percy Liang
Professor of Computer Science (and courtesy in Statistics)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV

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This 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.

Uploaded 02-05-13

Learn more: http://stanford.io/16vBuLV

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Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-models

To follow along with the course schedule and syllabus, visit: https://cme296.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:01:38 Diffusion
00:05:23 Score matching
00:13:02 Flow matching
00:19:04 Latent space and guidance
00:25:11 Image generation architectures
00:29:47 Model training
00:37:23 Evaluation
00:44:28 State-of-the-art models
00:55:03 Video generation models
01:12:51 Image editing
01:20:35 Diffusion for LLMs
01:38:54 Closing thoughts

Uploaded 01-06-26

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

Afshine 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

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In this webinar Professor Bill Burnett gives you a taste of what will be taught during the Innovation Masters Series course being held this June 19 -21, 2013 and December 11 - 13, 2013 at Stanford University.

Uploaded 03-05-13

Explore Stanford Online's Innovation and Design Thinking courses and programs: https://online.stanford.edu/innovation-design-thinking

Presented by the Innovation Masters Series: Design Thinking and the Art of Innovation course: http://scpd.stanford.edu/design/

0:00 Introduction
0:49 Design Thinking started at Stanford
2:23 Design Thinking is a process
3:41 Design Thinking stands for...
6:33 What is this creativity problem?
9:50 Let's dive a little deeper
10:30 the brain and neural darwinianism
13:24 the "BOX" and schemas
16:23 An example of schemas
21:14 Recent findings on Creativity
26:59 Liberating ideas
29:07 train yourself to get stuck
34:02 train yourself to brainstorm well
34:25 when you think about brainstorming I want you to think about jazz...
34:47 Jazz ensemble = brainstorming group
36:05 It's partly a 10,000 hours problem
38:46 We use a lot of Improv games
40:45 idea selection is a critical step
41:31 Brainstorming will transform you
42:05 Space creates behavior
43:00 #3: Create creative spaces
43:32 "raw" space is the most powerful!
44:04 Creative space suggestions
45:27 take-aways
46:51 Innovation Masters Series: Design Thinking the Art of innovation

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Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-models

To follow along with the course schedule and syllabus, visit: https://cme296.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:05:19 Motivation
00:10:48 Human ratings
00:19:43 Elo rating system
00:26:37 Reference-free metrics
00:29:15 Fréchet inception distance (FID)
00:42:30 CLIPScore
00:44:51 PickScore
00:45:41 Reference-based metrics
00:48:07 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 LLMs
01:13:10 Faithfulness evaluation (TIFA)
01:17:29 Visual question answering score (VQA)
01:24:40 MLLM-as-a-Judge
01:34:17 Benchmarks

Uploaded 28-05-26

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

Afshine 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

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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

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For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai

Follow 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 28-05-26

In 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.

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"Fixing Media's Business Model" -Frederic Filloux, Monday Note
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Uploaded 13-05-13

Learn more: http://bit.ly/WinYX5

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For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai

Uploaded 27-05-26

To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch

Follow along with the course schedule and syllabus: https://cs336.stanford.edu/

Percy Liang
Professor of Computer Science (and courtesy in Statistics)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV

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Monica Lam, MokaFive
In this seminar, entrepreneurial leaders share lessons from real-world experiences across entrepreneurial settings. Speakers include entrepreneurs, leaders from global technology companies, venture capitalists, and best-selling authors. Half-hour talks are followed by a half hour of class interaction.

Uploaded 17-05-13

Learn more about Stanford's eCorner: https://ecorner.stanford.edu
Learn more about Stanford's online classes and certificates: https://online.stanford.edu/programs
See the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rPE-kcGtKBgYtSMqEJKbESC

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For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai

Uploaded 27-05-26

To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs336-language-modeling-scratch

This lecture covers mid/post-training (SFT/RLHF).

Follow along with the course schedule and syllabus, visit: https://cs336.stanford.edu/

Percy Liang
Professor of Computer Science (and courtesy in Statistics)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV

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"Exploring Alternative Global Futures with the International Futures (IFs) Forecasting System" -Barry Highes, University of Denver
Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week.

Uploaded 17-05-13

Learn more: http://bit.ly/WinYX5

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