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The Stanford AI Lab was founded by John McCarthy after he left MIT and moved to Stanford. -
Originally started in the early 1960s as a way to build a rover for the moon, Les Earnest, an exec at SAIL, attempted to restart the "Standford Cart program" as the first autonomous road vehicle. -
A grad student at SAIL used a dictionary created by Les Earnest to develop a new spellchecker in the LISP programming language
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A time sharing operating system was developed for the PDP-6 and PDP-10 computers of the lab. The operating system had a text editor and also supported the creating of vector and raster graphics.
The image related shows a recreation of a GEOMED 3d model graphic from the OS. -
A computer model is developed to play chess - early version of artificial intelligence. The model is designed to be able to achieve checkmate from any starting position. -
This robotic arm, developed by Victor Scheinman, was one of the first to be designed solely for control by a machine. The research from this project (computer modeling, object recognition, collision avoidance, and control) has been applied to most modern industrial robots. -
The Stanford AI Lab was connected to the original ARPANET infrastructure -
The SAIL programming language was developed by Dan Swinehart and Bob Sproull for the PDP-10 and DECSYSTEM. PUB, the document formatting system, was coded in this language.
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Whitefield Diffie and Martin Hellman begin develop the PKI system for modern cryptography
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A system at SAIL was developed that had display monitors that placed terminals directly in officers, as opposed to "display rooms"
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At the time, the oldest time sharing system a DEC-10 mainframe computer at the AI lab, also called "SAIL" was shut down permanently. -
Stanford AI Lab and Toyota begin a partnership after $25 million funds from Toyota to develop systems that reduce traffic casualties and assist drivers with autonomous driving technologies. -
A Stanford Robot named OceanOne powered by AI and also allows for human remote control was used to explore a shipwreck from the 17th century. -
A novel method for robot learning is developed - a 2d strategy games is part of a process that allows for a robot to estimate unobserved strategies of a human collaborator that will further the process of human-robot collaboration practices -
Researches of the Stanford AI Lab develop a new model that creates photo-realistic imagery from low-resolution satellite imagery. This practice could be useful for remote sensing applications where high-resolution imagery is needed but difficult or prohibitively expensive to obtain.