This paper describes the Hapticat , a device we developed to study affect through touch. Though intentionally not highly zoomorphic, the device borrows behaviors from pets and th...
Steve Yohanan, Mavis Chan, Jeremy Hopkins, Haibo S...
Many network intrusion detection systems (NIDS) use byte sequences as signatures to detect malicious activity. While being highly efficient, they tend to suffer from a high false...
We designed and built the Gates Hillman Prediction Market (GHPM) to predict the opening day of the Gates and Hillman Centers, the new computer science buildings at Carnegie Mellon...
Program comments have long been used as a common practice for improving inter-programmer communication and code readability, by explicitly specifying programmers' intentions ...
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...