Stanford University Courses

Stanford Seminar - Applying Theory to Practice and Practice to Theory

Stanford University's seminar encourages collaboration between theoreticians and practitioners, focusing on applying theory to practice using real-world examples.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Instruction Sets Should Be Free- The Case for RISC-V

Explore the benefits of free instruction sets with Stanford University's seminar on RISC-V. Learn about ISA styles, RISC-V extensions, and resilient architecture in just 1-2 hours.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Online Course

Instruction Execution on the Mill CPU

This is one of the series of talks about the mill architecture. The Mill is a family of CPU designs. The Mill has a 10x single-thread power/performance gain over conventional out of order superscalar architectures.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Mostly Missless Memory in the Mill CPU

This is one of the series of talks about the mill architecture. The particular topic discussed here is Cache Access. Ivan Godard attemps to oversimplify and provide an intuitive understanding for people who are not specialists in the field.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Software-Defined Networking at the Crossroads

Explore the current research in computer systems, from integrated circuits to programming languages, in this free public seminar series from Stanford University.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Failures & Where to Find Them: Considering Safety as a Function of Structure

Stanford University's seminar explores safety in autonomous systems, focusing on structured driving environments and unstructured scenarios. It delves into anomaly detection and failure identification.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Using Data for Increased Realism with Haptic Modeling and Devices

Stanford University's seminar explores haptic modeling and devices, focusing on data-driven realism. Topics include sound modeling, texture models, and real-time touch transmission.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Forecasting and Aligning AI - Jacob Steinhardt

Modern ML systems sometimes undergo qualitative shifts in behavior simply by “scaling up” the number of parameters and training examples. Given this, how can we extrapolate the behavior of future ML systems and ensure that they behave safely and are alig…

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Stanford Seminar - The FATE of AI Ethics, Anna Bethke

Explore AI ethics with Stanford University's seminar. Learn about fairness, accountability, transparency, explainability, and human rights in AI development in under an hour.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton

Stanford University offers a brief seminar on deep learning for symbolic mathematics, covering topics from basic intuition to evaluation and generalization.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Lenia- Biology of Artificial Life, Bert Wang-Chak Chan

Explore artificial life, computer simulations, and software engineering in this 1-2 hour seminar from Stanford University. Dive into evolution, physics, and the future of life.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Explore Stanford University's seminar on creating persistent and unforgeable watermarks for deep neural networks, with a workload of 1-2 hours.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

We will briefly review our past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, and then talk about some features, i.e. interrupt and virtualization, we are trying to introduce into the accelerators from the user's pe…

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Stanford Seminar - MIPS Open, Wave Computing

Explore MIPS Open components, features, and benefits with Stanford University's seminar. Learn about virtualization, multi-threading, and security in less than an hour.

• YouTube
• 1 hour
• On-Demand
• Free Online Course