In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....
Of special interest in formal verification are safety properties, which assert that the system always stays within some allowed region. Each safety property can be associated with...
Proof-carrying code (PCC) is a general framework that can, in principle, verify safety properties of arbitrary machine-language programs. Existing PCC systems and typed assembly l...
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...