The Korea Advanced Institute of Science and Technology (KAIST)

KAIST (formerly the Korea Advanced Institute of Science and Technology), is located in Daedeok Innopolis, Daejeon, South Korea. KAIST was established by the Korean government in 1971 as the nation's first research oriented science and engineering institution. The QS-The Times World University Rankings in the year of 2009 placed KAIST 69th overall and 21st in technology. The most recent 2011 QS World University Rankings however, ranked KAIST as 90th overall, and 27th in Engineering and IT.

Address
291 Daehak-ro(373-1 Guseong-dong), Yuseong-gu, Daejeon
Website
http://www.kaist.edu/
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Engineering

A deep-learned e-skin decodes complex human motion

A deep-learning powered single-strained electronic skin sensor can capture human motion from a distance. The single strain sensor placed on the wrist decodes complex five-finger motions in real time with a virtual 3-D hand ...

Robotics

'Mole-bot' optimized for underground and space exploration

Mole-bot, a drilling biomimetic robot designed by KAIST, boasts a stout scapula, a waist inclinable on all sides, and powerful forelimbs. Most of all, the powerful torque from the expandable drilling bit mimicking the chiseling ...

Automotive

AI to determine when to intervene with your driving

Can your AI agent judge when to talk to you while you are driving? According to a KAIST research team, their in-vehicle conservation service technology will judge when it is appropriate to contact you to ensure your safety.

Machine learning & AI

Automatically quantifying gender bias in movies via image analysis

Many commercial films worldwide continue to express womanhood in a stereotypical manner, a recent study using image analysis showed. A KAIST research team developed a novel image analysis method for automatically quantifying ...

Machine learning & AI

Object identification and interaction with a smartphone knock

A KAIST team has featured a new technology, "Knocker," which identifies objects and executes actions just by knocking on it with the smartphone. Software powered by machine learning of sounds, vibrations, and other reactions ...

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