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...

We begin with a study of finite automata and the languages they can define (the so-called "regular languages." Topics include deterministic and nondeterministic automata, regular expressions, and...

Welcome to the self paced course, Algorithms: Design and Analysis, Part 2! Algorithms are the heart of computer science, and the subject has countless practical applications as well as...

Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as...

This course teaches students how to avoid common pitfalls in generating random numbers, covering topics such as textbook RSA, Diffie-Hellman, digital certificates, key collisions,...

This course aims to teach learners how to apply theoretical concepts to practical problems and vice versa. The course covers topics such as generalizing algorithms, scoring functions, modes...

This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this...

Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data...

In the era of Electronic Health Records, it’s possible to examine the decision outcomes made by doctors and identify patterns of care by generating evidence from the collective experience...

This course teaches how to use data for increased realism in haptic modeling and devices. The learning outcomes include understanding haptography, haptic recording devices, texture...

This course covers the role of MEMS sensors in enabling the Internet of Things, including topics such as timing circuits, MEMS gyroscope chips, laser scanners, and Texas Instruments DLP...

Learn more about Stanford's Human-Computer Interaction Group: https://hci.stanford.edu. This seminar concentrates on various topics such as Accessible extended reality, ethical design for...

The theme for Autumn 2018 Topics in Technology Management seminar series is "New Approaches to Energy and Environment Challenges: Recent Developments in Asia." This series features...

This course covers the fundamentals of computers, including topics such as binary, digital images, computer hardware, computer networks, web development (HTML, CSS), Python programming,...

This course aims to teach students about computational ecosystems and community-informed planning. The learning outcomes include understanding the importance of systems thinking in...

This course will introduce the concept of unsupervised learning as a means of natural language processing. In this course, we will examine the different algorithms for building generative models...

Training accurate classifiers requires many labels, but each label provides only limited information (one bit for binary classification). In this work, we propose BabbleLabble, a framework...

Reinforcement learning is a promising technique for training autonomous systems that perform complex tasks in the real world. However, training reinforcement learning agents is a...

This course explores technology scaling, different kinds of parallelism, dependencies, correctness, sequential consistency, shared memory systems, coherence scalability, concurrency control,...

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...