Noticias y opinión
When Alexey Radul began graduate work at MIT's Computer Science and Artificial Intelligence Lab in 2003, he was interested in natural-language processing -- designing software that could understand ordinary written English. But he was so dissatisfied with the computer systems that natural-language researchers had to work with that, in his dissertation, he ended up investigating a new conceptual framework for computing. The work, which Radul is now pursuing as a postdoc in the lab of Gerald Sussman, the Matsushita Professor of Electrical Engineering, is still in its infancy. But it could someday have consequences for artificial-intelligence research, parallel computing and ...
Belkin buys Zensi, which makes sensors to track domestic energy and water usage.
Un dispositivo traduce los movimientos oculares en órdenes para el vehículo
Esta tecnología ofrece una calidad superior con respecto al servicio de voz móvil actual
Evans Data asks developers about ease of use and other attributes, but Rails founder pans the survey's findings
Virtualization and cloud computing allow computer users access to powerful computers and software applications hosted by remote groups of servers, but security concerns related to data privacy are limiting public confidence and slowing adoption of the new technology.
Expertos de todo el mundo debaten en la Politécnica de Valencia sobre la fiabilidad y la seguridad de los sistemas informáticos
Improving the cooperation of hardware and software developers in the design process leads to productive efficiency. A task which is adressed by the EU project COMPLEX with new methods.
The OSOR agency has published a study that should make it easier for public administrations in Europe to make decisions regarding open source software procurement.
(PhysOrg.com) -- MIT researchers have developed software that makes computer simulations of physical systems run much more efficiently on so-called multicore chips. In experiments involving chips with 24 separate cores -- or processors -- simulations of fluid flows were at least 50 percent more efficient with the new software than they were with conventional software. And that figure should only increase with the number of cores.
Two Lehigh professors are enhancing computers' capabilities, hoping to change the future of technology