The companies asked by the consumer protection authority are
de ANWB, Nuon en Oxfam Novib. De Bijenkorf stopte hier al eerder mee. Essent heeft toegezegd binnenkort te stoppen en KLM en Transavia heroverwegen hun aanpak. De Bankgiroloterij, FBTO, KPN/Telfort, Postcodeloterij, Vakantieveilingen, Vriendenloterij en de Persgroep blijven gewoon doorgaan. Van Heerlijk.nl, HelloFresh en Hotels.nl
To be fair, some were giving the data away encrypted.
One recall covers 670,000 2006-2011 U.S. 3-Series vehicles to address a wiring issue for heating and air conditioning systems that may overheat and could increase the risk of a fire.
The second recall covers 740,000 U.S. 2007-2011 vehicles with a valve heater that could rust and lead to a fire in rare cases. The recall includes some 128i vehicles, 3-Series, 5-Series and X3, X5 and Z4 vehicles.
This is important because generally these recalls only happen in the US due to law suites, even though the danger is to all vehicles worldwide.
Many people worried that Google was scanning users’ documents in real time to determine if they’re being mean or somehow bad. You actually agree to such oversight in Google G Suite’s terms of service.
Those terms include include personal conduct stipulations and copyright protection, as well as adhering to “program policies.” Who knows what made the program that checks for abuse and other violations of the G Suite terms of service to go awry. But something did.
And it’s not just Google that has such terms. Chances are you or your employees have signed similar terms in the many agreements that people accept without reading.
The big concern from enterprises this week was not being locked out of Google Docs for a time but the fact that Google was scanning documents and other files. Even though this is spelled out in the terms of service, it’s uncomfortably Big Brother-ish, and raises anew questions about how confidential and secure corporate information really is in the cloud.
This is part of a workshop I have given several times: many companies do this happily. Oddly enough you won’t find their invasions in the privacy policy, but in their terms of service is where you find the interesting maneuvering. It’s actually worse than above: you generally give away copyright to all your documents as well 🙂
If the plan is approved, Firefox will not trust certificates issued by the Staat der Nederlanden (State of the Netherlands) Certificate Authority (CA).
This CA is operated by PKIOverheid/Logius, a division of the Ministry of Interior and Kingdom Relations, which is the same ministry that oversees the AIVD intelligence service.
New law givers Dutch govt power to intercept Internet traffic
What’s got Mozilla engineers scared is the new “Wet op de inlichtingen- en veiligheidsdiensten (Wiv)” — translated to Information and Security Services Act — a new law voted this year that will come into effect at the start of 2018.
This new law gives Dutch authorities the powers to intercept and analyze Internet traffic. While other countries have similar laws, what makes this one special is that authorities will have authorization to carry out covert technical attacks to access encrypted traffic.
Such covert technical capabilities include the use of “false keys,” as mentioned in Article 45 1.b, a broad term that includes TLS certificates.
Emoticons are getting more popular as the new communication channel to express feelings in online communication. Although familiarity to emoticons depends on cultures, how exposure matters in emotion recognition from emoticon is still open. To address this issue, we conducted a cross-cultural experimental study among Cameroon and Tanzania (hunter-gatherers, swidden farmers, pastoralists, and city dwellers) wherein people rarely experience emoticons and Japan wherein emoticons are popular. Emotional emoticons (e.g., ☺) as well as pictures of real faces were presented on a tablet device. The stimuli expressed a sad, neutral, or happy feeling. The participants rated the emotion of stimulus on a Sad–Happy Scale. We found that the emotion rating for the real faces was slightly different but similar among three cultural groups, which supported the “dialect” view of emotion recognition. Contrarily, while Japanese people were also sensitive to the emotion of emoticons, Cameroonian and Tanzanian people hardly read emotion from emoticons. These results suggested that the exposure to emoticons would shape the sensitivity to emotion recognition of emoticons, that is, ☺ does not necessarily look smiling to everyone.
group of University of Edinburgh boffins have turned CSI:Crime Scene Investigation scripts into a natural language training dataset.Their aim is to improve how bots understand what’s said to them – natural language understanding.Drawing on 39 episodes from the first five seasons of the series, Lea Freeman, Shay Cohen and Mirella Lapata have broken the scripts up as inputs to a LSTM (long short-term memory) model.The boffins used the show because of its worst flaw: a rigid adherence to formulaic scripts that make it utterly predictable. Hence the name of their paper: “Whodunnit? Crime Drama as a Case for Natural Language Understanding”.“Each episode poses the same basic question (i.e., who committed the crime) and naturally provides the answer when the perpetrator is revealed”, the boffins write. In other words, identifying the perpetrator is a straightforward sequence labelling problem.What the researchers wanted was for their model to follow the kind of reasoning a viewer goes through in an episode: learn about the crime and the cast of characters, start to guess who the perp is (and see whether the model can outperform the humans).
Source: 39 episodes of ‘CSI’ used to build AI’s natural language model • The Register