Big data can be a blessing: with very large training sets it becomes possible to perform complex learning tasks unprecedented accuracy. Yet, this improved performance comes at the price of enormous computational challenges. Thus, one may wonder: Is leverage information content huge while keeping resources under control? Can also help solve some privacy issues raised by large-scale learning? Thi...

Software measures are of paramount importance to evaluate both processes and products. However, collecting such data requires a large effort and this activity produces benefits only in the long term. For these reasons, companies have to use automated tools able to collect data without affecting both the productivity and the process. This approach is useful to reduce the effort related to the me...

In classical computation, a “write-only memory” (WOM) is little more than an oxymoron, and the addition of a WOM to a (deterministic or probabilistic) classical computer brings no advantage. We demonstrate a setup where a quantum computer using a WOM can solve problems that neither a classical computer with a WOM nor a quantum computer without a WOM can solve, when all other resource bounds are...

G o o d l o o k i n g . 5 4 y e a r Old William Francis McDon­ ough wears horn-rimmed spec­ tacles, lias steel-gray eyes, talks In a soft, modest way, and is Unmarried. In his day Bill McDonough ^35 been a farmer’s son, soltlier, Merit Man and top execu­ tive of a big-time employees' Sroup. He likes to walk, play golf, and bowl. He once bowled 300, which is as thrilling as ̂ l^ole-in-one is to a...

Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated through the use of different information systems. The results of data mining can be used for getting a better understanding of the underlying educational processes, for generating recommendations and advice to students, for...

In-memory read-only caches are widely used in cloud infrastructure to reduce access latency and to reduce load on backend databases. Operators view coherent caches as impractical at genuinely large scale and many clientfacing caches are updated in an asynchronous manner with best-effort pipelines. Existing incoherent cache technologies do not support transactional data access, even if the backe...