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TEMPORAL project helps improving hearing of deaf
Electrical inner ear prostheses like Cochlear Implants (CIs) help deaf and severely hearing-impaired persons to regain many of their communication abilities. The performance of CI in social environments is, however, not optimal. The new “Machine learning To Enhance teMPoral cOding foR cochleAr impLants” (TEMPORAL) project, in which Thomas Bäck and Anna Kononova from the Leiden Institute for Advanced Computer Science (LIACS) are involved, will examine how to improve their performance.
Fluctuating noise levels
‘At the moment, CI has a significant limitation in properly conveying detailed time information of sound to the auditory nerve,’ Kononova explains. ‘This means that in complex listening environments, like situations where the noise level is fluctuating, people with CI have difficulties understanding speech. Also, CI still has difficulties with things like music perception. Based on the computer modeling, ar
Robot Firefighter Puts Out Blaze in France
Robot Firefighter Puts Out Blaze in France
Comments Off on Robot Firefighter Puts Out Blaze in France
MARSEILLE, France – Firefighters cut through security grills to tackle a blaze in an electronic store in Marseille, France on Jan 18.
The firemen were also assisted by a robot firefighting device in the operation that used a huge fan to blast a jet water into the store to extinguish any hotspots.
“Back in pictures on this important commitment of #marinspompiers of the City of Marseille on this violent fire in an establishment open to the public, avenue des chartreux #fiersdeprotégermarseille,” tweetedMarins-Pompiers de Marseille.
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Pelt brings theory and practice together in field of Deep Learning
Bringing the theoretical world of mathematics and computer science to more applied research areas. That is what Daniël Pelt, associate professor at the Leiden Institute of Advanced Computer Science (LIACS) is trying to achieve with the methods he is developing as a solution to challenges in image processing.
Failing methods
During his PhD research at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, he focused on tomography: making a three-dimensional image of the internal structure of an object. This technique is used in the medical world, for example in CT scans. In his research, Pelt found that the methods used in tomography often work less well in practice than in theory. ‘Methods that at the time were widely used, were often not accurate enough for advanced applications,’ he says. ‘But more accurate methods were often much too slow to use in practice. In this way, I was triggered to find