From ACM Careers
Canonical's Open Documentation Academy aims to help newcomers participate in the open source community, offering mentorship and…
BNN| February 28, 2024
A group of scientists from MIT CSAIL has developed a method that can reconstruct hidden video from the subtle shadows and reflections on an observed pile of clutter...MIT CSAIL From ACM Careers | December 10, 2019
MIT CSAIL's "RoCycle" automated recycling system uses in-hand sensors to detect if an object is paper, metal, or plastic.
MIT CSAIL From ACM Careers | April 17, 2019
Advances in artificial intelligence will not lead to optimal outcomes on their own, said speakers at the second annual summit on "AI and the Future of Work."
MIT CSAIL From ACM Careers | November 16, 2018
Researchers will demonstrate a system that can simulate detailed household tasks and then have artificial "agents" execute them, opening up the possibility of one...MIT CSAIL From ACM Careers | May 30, 2018
A system developed at MIT CSAIL uses custom ink and ultraviolet light to repeatedly change an object's color.
MIT CSAIL From ACM Careers | January 29, 2018
Researchers at MIT CSAIL have developed a virtual reality system that could make it easier for factory workers to telecommute by allowing them to teleoperate a...MIT CSAIL From ACM Careers | October 16, 2017
A team from MIT's Computer Science and Artificial Intelligence Laboratory and Boston University has created a feedback system that lets people communicate with...MIT CSAIL From ACM Careers | March 7, 2017
Researhcers are using a deep-learning system, coupled with audio and vital-sign data, to objectively measure the emotional content of personal interactions. The...MIT CSAIL From ACM Careers | February 2, 2017
The MoVR system, developed at MIT's Computer Science and Artificial Intelligence Laboratory, allows virtual reality headsets to communicate without a cord.MIT CSAIL From ACM Careers | November 15, 2016
By measuring an individual's heartbeat and breath, a device developed at MIT CSAIL can tell if a person's excited, happy, angry, or sad.MIT CSAIL From ACM Careers | September 21, 2016
Researchers from MIT CSAIL have demonstrated an algorithm that has effectively learned how to predict sound: When shown a silent video clip of an object being hit...MIT CSAIL From ACM Careers | June 14, 2016
Eye-tracking research reveals which types of visualizations best convey information and make it memorable. MIT CSAIL From ACM Careers | November 6, 2015
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