Research Spotlight


About The Red Sea Robotics Research Exploratorium was created in April 2012 through a generous research award from the King Abdullah University of Science and Technology (KAUST). As a part of the KAUST Global Collaborative Research Program, Stanford University is part of a team of universities working to build a major science and technology university along a marshy peninsula on Saudi Arabia’s western coast. Meka Robotics joined the collaboration and...


ChucK is a programming language for audio and music creation. The language is designed around a unique time-based, concurrent programming model that's precise and expressive (we call this strongly-timed), and the ability to add and modify code on-the-fly. It offers composers, researchers, and performers a powerful programming tool for building and experimenting with complex audio synthesis/analysis programs, and real-time interactive music.


Ocarina, created in 2008 for the iPhone, is one of the first musical artifacts in the age of pervasive, app-based mobile computing. It presents a flute-like physical interaction using microphone input, multitouch, and accelerometers – and a social dimension that allows users to listen-in on each other around the world. To date, Ocarina has over 10 millions users worldwide, and was a first-class inductee into Apple's Hall of Fame Apps.


The Stanford Laptop Orchestra (SLOrk) is a large-scale, computer-mediated ensemble and classroom that explores cutting-edge technology in combination with conventional musical contexts - while radically transforming both. Founded in 2008 by director Ge Wang and students, faculty, and staff at Stanford University's Center for Computer Research in Music and Acoustics (CCRMA), this unique ensemble comprises more than 20 laptops, human performers, controllers,...


Energy-efficient computing platforms are sorely needed to control autonomous robots and to decode neural signals in brain-machine interfaces. Inspired by the brain’s energy efficiency, we are exploring a hybrid analog-digital approach that uses subthreshold analog circuits to emulate graded dendritic activity and asynchronous digital circuits to emulate all-or-none axonal activity. We have used this approach to build Neurogrid, a sixteen-chip neuromorphic...


ircuits to emulate the functions of the synapses and neurons of the brain. The goal is to use nanoscale electronic devices to do information processing using algorithms and methods inspired by how the brain works. Currently, we are using phase change memory and metal oxide RRAM to perform gray-scale analog programming of the resistance values. These electronic emulations of the synapse are then connected in a neural network to process information and achieve...


3X is an open-source software tool to ease the burden of conducting computational experiments and managing data analytics. 3X provides a standard yet configurable structure to execute a wide variety of experiments in a systematic way, avoiding repeated creation of ad-hoc scripts and directory hierarchies. 3X organizes the code, inputs, and outputs for an experiment. The tool submits arbitrary numbers of computational runs to a variety of different compute...


Deep learning is a rapidly growing area of machine learning, that is becoming widely adopted within academia and industry. Whereas machine learning is a very successful technology, applying it today still often requires spending substantial effort hand-designing features to feed to the algorithm. This is true for applications in vision, audio, and text/NLP. To address this, Ng's group and others are working on "deep learning" algorithms, which can...


The Salisbury Lab conducts research in the areas of robotics, medical robotics, haptic devices and haptic rendering algorithms. One project is developing a virtual environment that enables surgeons to plan and practice surgical procedures by interacting visually and haptically with patient-specific data derived from CAT and MRI scans. Our lab developed the first version of the personal robot (PR-1), which eventually was licensed to Willow Garage and was the...

Upcoming Events

Today

  1. 12:15pm - Software Research Group Lunch: M^3: Hi ...
  2. 12:50pm - HCI Seminar: Karen Wilkenson and Mike ...
  3. 02:15pm - The Economics of Software (CS 207): Pr ...

Monday, April 21st

  1. 11:30am - Rocket Fuel - Free Cupcakes, Fascinati ...
  2. 12:15pm - BIOMEDIN 206: Informatics in Industry: ...
  3. 03:00pm - ISL Colloquium: Newton-Raphson Consens ...
  4. 04:15pm - ICME Computational Biology Seminar/Joi ...

Tuesday, April 22nd

  1. 12:30pm - Evolgenome Seminar: Genome-Wide Conver ...
  2. 05:00pm - Rocket Fuel Info Session ...
  3. 05:30pm - Center for Internet and Society Speake ...

Wednesday, April 23rd

  1. 11:00am - Seminar at Technicolor: Machine Learni ...
  2. 01:00pm - Geometric Computing Seminar ...
  3. 01:15pm - Evolgenome Seminar: The Genetic Basis ...
  4. 04:15pm - EE380 Computer Systems Colloquium: The ...
  5. 04:15pm - ICME Colloquium - Applied Math Seminar ...
  6. 04:30pm - ETL Speaker Series: Morris Chang, Chai ...

Thursday, April 24th

  1. 12:00pm - Evolgenome Seminar: Personalized Genom ...
  2. 12:15pm - Stanford CS Theory Lunch: Joshua Wang, ...
  3. 04:15pm - ISL Colloquium: Prof. Andrea Montanari ...
  4. 04:15pm - Seminar on Trends in Computing and Com ...
  5. 04:15pm - Theory Seminar: Bernhard Haeupler, Pos ...

Friday, April 25th

  1. 10:00am - University Oral Examination: Steady-st ...
  2. 12:50pm - HCI Seminar: Kristen Berman, Co-founde ...
  3. 01:00pm - Information Theory Forum: Sreeram Kann ...
  4. 02:15pm - The Economics of Software (CS 207): Pr ...

Monday, April 28th

  1. 12:15pm - BIOMEDIN 206: Informatics in Industry: ...
  2. 12:15pm - Symbolic Systems Forum: TBA ...
  3. 04:15pm - ICME Computational Biology Seminar/Joi ...
  4. 04:15pm - Lessons in Decision Making: TBA ...

Tuesday, April 29th

  1. 05:30pm - Center for Internet and Society Speake ...

Wednesday, April 30th

  1. 12:00pm - RAIN Seminar: TBA ...
  2. 12:15pm - Computational Logic Seminar - MUGS: TB ...

Department Overview

Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education. Throughout the past four decades, the Stanford CS Department has influenced society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many of the leaders in the academic and corporate research world are graduates of the Stanford CS Department.