Memoirs of a Gaysha

The life of a Stanford student, budding playwright and aspiring dancer.

August 17, 2011 at 4:41pm

Virtual and Artificial, but 58,000 Want Course - NYTimes.com →

Academic privilege and exclusivity being democratized for the masses? Or the American, academic elite’s form of imperialism? You decide.

I’m generally of the idea that greater educational access is always good, but I just wanted to read this as more than just purely benign or sinister. I hope that this doesn’t stamp out competing university programs with less resources, especially since non-Stanford affiliates will not be offered credit nor a degree, but I am hopeful that it will be beneficial to someone.

3:46pm

What is affective computing? (by thetestoffaith)

August 5, 2011 at 3:27pm
Reblogged from monsieur-antichrist
monsieur-antichrist:

Daily Poster
Android (1982)
trailer

monsieur-antichrist:

Daily Poster

Android (1982)

trailer

July 28, 2011 at 10:55am
Reblogged from smarterplanet
smarterplanet:

Why the Future of Transportation Is All About Real-Time Data
In order to tackle urban transportation challenges in cities around the world, the Massachusetts Institute of Technology (MIT) and the National Research Foundation of Singapore launched a five-year cooperative project in 2009 — Future Urban Mobility (FM) — to look at new models and technology tools aimed at sustainability. The FM team is one of four interdisciplinary research groups that are part of the Singapore-MIT Alliance for Research and Technology Centre, or SMART Centre. FM is developing SimMobility, a simulation platform where researchers explore transportation, environmental impacts, energy and land use and the activities of individual travelers in the mix.
Some of the projects of FM include autonomous driving — as in, cars that drive themselves — and simultaneous research is being done in the areas of vehicle-to-vehicle communication and vehicle-to-infrastructure communication. Vehicle-to-vehicle communication looks at applications for both safety and information retrieval.
Applications are being developed so your car will get information about the location and intentions of vehicles in your vicinity, contributing to the process of autonomous driving. Vehicle-to-infrastructure projects are less safety-related and more focused on traffic operations, including the possibility of your car receiving information from traffic signals regarding data like when an upcoming stoplight will turn green. With this data, you can adjust your speed and slow down without having to stop at the signal, thus reducing stop-and-go traffic movement.

smarterplanet:

Why the Future of Transportation Is All About Real-Time Data

In order to tackle urban transportation challenges in cities around the world, the Massachusetts Institute of Technology (MIT) and the National Research Foundation of Singapore launched a five-year cooperative project in 2009 — Future Urban Mobility (FM) — to look at new models and technology tools aimed at sustainability. The FM team is one of four interdisciplinary research groups that are part of the Singapore-MIT Alliance for Research and Technology Centre, or SMART Centre. FM is developing SimMobility, a simulation platform where researchers explore transportation, environmental impacts, energy and land use and the activities of individual travelers in the mix.

Some of the projects of FM include autonomous driving — as in, cars that drive themselves — and simultaneous research is being done in the areas of vehicle-to-vehicle communication and vehicle-to-infrastructure communication. Vehicle-to-vehicle communication looks at applications for both safety and information retrieval.

Applications are being developed so your car will get information about the location and intentions of vehicles in your vicinity, contributing to the process of autonomous driving. Vehicle-to-infrastructure projects are less safety-related and more focused on traffic operations, including the possibility of your car receiving information from traffic signals regarding data like when an upcoming stoplight will turn green. With this data, you can adjust your speed and slow down without having to stop at the signal, thus reducing stop-and-go traffic movement.