How well do explanation methods for machine-learning models work?
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent.
Researchers encourage positive use cases of AI-generated characters for education and well-being.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.
A new machine-learning system helps robots understand and perform certain social interactions.
A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
Advance incorporates sensing directly into an object’s material, with applications for assistive technology and “intelligent” furniture.
System uses tiny magnetic beads to rapidly measure the position of muscles and relay that information to a bionic prosthesis.
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.
A human-aware motion planning algorithm addresses the safety gap in collaboration between robots and humans.