lundi 5 septembre 2016

The JavaMail API

The JavaMail API provides a platform-independent and protocol-independent framework to build mail and messaging applications. The JavaMail API provides a set of abstract classes defining objects that comprise a mail system. It is an optional package (standard extension) for reading, composing, and sending electronic messages.

visit : www.tutorialspoint.com/javamail_api

mardi 21 juin 2016

Parallel Programming Made Easy

MIT News (06/20/16) Larry Hardesty 

Massachusetts Institute of Technology (MIT) researchers have developed Swarm, a chip design that should make parallel programs more efficient and easier to write. The researchers used simulations to compare Swarm versions of six common algorithms with the best existing parallel versions, which had been individually engineered by software developers. The Swarm versions were between three and 18 times as fast, but they generally required only one-tenth as much code. The researchers focused on a specific set of applications that have resisted parallelization for many years, and many of the apps involve the study of graphs, which are comprised of nodes and edges. Frequently, the edges have associated numbers called "weights," which often represent the strength of correlations between data points in a dataset. Swarm is equipped with extra circuitry specifically designed to handle the prioritization of the weights, and it time-stamps tasks according to their priorities and begins working on the highest-priority tasks in parallel. Higher-priority tasks may engender their own lower-priority tasks, but Swarm automatically slots those into its queue of tasks. Swarm also has a circuit that records the memory addresses of all the data its cores currently are working on; the circuit implements a Bloom filter, which stores data into a fixed allotment of space and answers yes or no questions about its contents.

lundi 6 juin 2016

Finding Relevant Data in a Sea of Languages

MIT News (05/27/16) Ariana Tantillo; Dorothy Ryan 

Researchers in the Massachusetts Institute of Technology Lincoln Laboratory's Human Language Technology (HLT) Group seek to address the challenge of providing multilingual content analysis amid a shortage of analysts with the necessary skills. Their work could potentially benefit law enforcement and the U.S. Department of Defense and intelligence communities. The HLT team is exploiting innovations in language recognition, speaker recognition, speech recognition, machine translation, and information retrieval to automate language-processing tasks so the available linguists who analyze text and spoken foreign languages are more efficiently utilized. The team is concentrating on cross-language information retrieval (CLIR) using the Cross-LAnguage Search Engine (CLASE), which enables English monolingual analysts to help look for and filter foreign language documents. The researchers use probabilistic CLIR based on machine-translation lattices. The method entails documents being machine-translated into English as a lattice containing all possible translations with their respective probabilities of accuracy. Documents containing the most likely translations are extracted from the collection for analysis, based on an analyst's query of a document collection; CLIR results are assessed according to precision, recall, and their harmonic average or F-measure. Meanwhile, HLT's Jennifer Williams is developing algorithms to identify languages in text data so CLASE can select the appropriate machine translation models, and others are working on automatic multilingual text-translation systems.