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Technological winks | The Press



Streaming giants are often criticized for not providing a showcase for Quebec songs. We can only salute the rather original initiative of Amazon Music which rolled out the red carpet for 1969an album concocted by director and multi-instrumentalist Connor Seidel on which we find songs performed by Ariane Moffatt, Elisapie, Safia Nolin, Louis-Jean Cormier and The Boulay sisters.


Owners of an Echo smart speaker can not only listen to portions of the album for free, but they can also use Alexa for requests like “Tell me about the album.” 1969 or “Give the floor to the Boulay sisters” or “… to Elisapie”, which present this Quebec tribute to the seventies appeared this week.



According to a report by Atlas VPN, even Apple products saw a dramatic 467% increase in detected vulnerabilities in 2021.

2021 has been a devastating year for vulnerabilities found across different platforms, starting with Microsoft Exchange Server in the spring and Log4J last fall. These vulnerabilities do not necessarily mean that there has been a hack, but that the devices pose high risks. A report by Atlas VPN, which markets a virtual private network, however, notes an unexpected phenomenon: even Apple products, generally considered more secure and of little interest to cybercriminals, are affected. The number of vulnerabilities for iPhones, iPads and Macs rose from 67 at the start of the year to 380, an increase of 467%. Overall, Google (Android) and Microsoft (Windows) are still the most at risk, with 547 and 432 vulnerabilities detected respectively.



Researchers at the University of Wisconsin–Madison found that all of the video conferencing apps tested continued to occasionally send audio, even when muted.

What happens when you press the “Mute” button on a video conferencing application? Many disturbing things, recently discovered a team from the University of Wisconsin – Madison. After testing different platforms on all popular operating systems, the researchers found that all video conferencing applications continued to occasionally send audio data, even when muted. One of them, who is unfortunately not identified, continued to do so at the same rate as before the microphone was virtually cut off. By using machine learning, we managed with this data to establish with an accuracy of 82% what users were doing. The university team will present their findings in detail at a symposium next July.

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