Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
A fully asynchronous implementation of the ARM microprocessor has been developed in order to investigate the potential of asynchronous logic for low-power applications. The work d...
Stephen B. Furber, P. Day, Jim D. Garside, N. C. P...
We describe Fountain, an implementation of the Scalable Systems Software node monitor specification targeted at aggregate node monitoring for clusters. Fountain is designed from ...
Students with visual disabilities face unique challenges in learning to be computer scientists. These challenges can be overcome, however, with the use of specialized software too...
Recent advances in wireless networking technologies enabled nomadic users connected to the Internet anywhere from the outdoor environments such as airport, hotel, subway station, o...