School of Computer Science
Carnegie Mellon and the White House Office of Science and Technology Policy will co-host the workshop June 28 at CMU.
Kanade is being honored for his fundamental contributions to computer vision and innovative applied technologies in robotics, including automated driving.
New software not only helps a robot deal efficiently with clutter, it surprisingly reveals the robot’s creativity in solving problems.
The event is one of the first hackathons to engage computer scientists in using one of the hardest systems to crack: the structure of neural data and the brain.
The in-hand eye would be important for a number of applications, including inspection tasks.
A system developed by Disney Research and Carnegie Mellon University researchers uses simple RFID tags to quickly make physical objects, such as the spaceship model shown here, interactive with digital devices.
His discovery has had a major influence on the theory of programming languages.
The Knowledge Accelerator uses a machine-learning program to sort and organize information.
Developed in the Human-Computer Interaction Institute, the new system allows for continuous touch tracking on the hands and arms.
His research focuses on statistical learning algorithms for understanding natural language text and on understanding how the human brain represents information.
The National Science Foundation awarded CMU's Wolfgang Gatterbauer a Faculty Early Career Development award for his research proposal to develop novel methods to draw conclusions from uncertain and inconsistent data.
A computer scientist renowned for her work in artificial intelligence and robotics, Veloso succeeds Tom Mitchell who remains part of the faculty.
Computer science needs K-12 educators, especially ones like Leigh Ann DeLyser (CS 2010, 2014), a former high school teacher and director of education and research for CSNYC - NYC Foundation for Computer Science Education.
The five-year agreement for a Robotics Traineeship program is valued at up to $3 million and will provide full or partial support for as many as 20 Ph.D. and master’s degree students in robotics.
A readability analysis of presidential candidate speeches by researchers in CMU's Language Technologies Institute finds most candidates using words and grammar typical of students in grades 6-8.