We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
—The standard way to scale a distributed OLTP DBMS is to horizontally partition data across several nodes. Ideally, this results in each query/transaction being executed at just ...
Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones,...
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
Peer-to-peer systems offer attractive system management properties, including the ability of components that join the network to self-organize; scalability up to tens of thousands...