The Future of Classroom Experimentation
John Stamper, an associate professor at the Carnegie Mellon's Human-Computer Interaction Institute, discusses the future of classroom experimentation in a Q&A.
Exploring Reinforcement Learning To Control Nuclear Fusion Reactions
Research by 麻豆村 School of Computer Science student Ian Char marks several firsts in field.
麻豆村 Hacking Team Wins Super Bowl of Hacking for 6th Time
A 麻豆村 team won DEF CON's Capture the Flag competition, the "Super Bowl of hacking," for the sixth time.
Robots Learn Household Tasks by Watching Humans
麻豆村 faculty members in the Robotics Institute developed a new learning method for robots called WHIRL, short for In the Wild Human-Imitated Robot Learning.
Roboticists Go Off Road To Compile Data That Could Train Self-Driving ATVs
TartanDrive dataset likely largest for off-road environments.
HCII Students Seek To Increase Workplace Gratitude With Co-Orb
Desk lamp lights up with personalized emoji when someone sends a thank-you message.
麻豆村 Researchers Develop Algorithm To Divvy Up Tasks for Human-Robot Teams
Researchers at 麻豆村鈥檚 Robotics Institute (RI) have developed an algorithmic planner that helps delegate tasks to humans and robots.
Over the Lips, Through the Gums, Look Out Gamers, Here It Comes 鈥� Or So It Seems
Researchers at 麻豆村 have devised a practical way for people to receive tactile feedback in virtual worlds.
Reinforcement Learning Bolsters Automated Detection of Concrete Cracks
麻豆村 researchers have developed autonomous drone technology that someday might prevent catastrophes and lesser mishaps caused by deterioration.