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Wednesday, November 22, 2017
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Looking back at a year like 2017 brings the internal conflict of being a security researcher into full view: on the one hand, each new event is an exciting new research avenue for us, as what were once theoretical problems find palpable expression in reality. On the other hand, as people with a heightened concern for the security posture of users at large, each event is a bigger catastrophe.
Ars tests pieces of smart jewelry to see how powerful the dainty devices can be.
Virtually try on outfits from Amazon? That feature could come soon enough.
The firm's security team failed in a spectacular fashion.
"This is crazy. Lowering standards doesn't solve our broadband problems."
Bezel-free design maximizes screen space, and hides some fancy features.
Join us for live coverage of all Apple's announcements.
For the longest time, the structure of a typical business application remained the same.
Implementation details could vary, but the solution invariably consisted of the front end, the business logic, and the data management layer.We started with mon...
We're not pro photographers at Ars.

Fortunately, there's a space agency for that.
Everyone should have fast home Internet and mobile access, commenters tell FCC.
Itrsquo;s pretty much understood that companies in most every industry will need to implement some level of machine learning in order to remain competitive.With the vast amounts of data companies accumulate, they need to make this data work for themmdash;helping them predict the likelihood of a loan going into default, what fashion trends customers will be looking for next summer, or how many buses may be operating in specific regions and their impact on traffic.Before machine learning this was stuff that was close to impossible to determine with any level of accuracy.To read this article in full or to leave a comment, please click here
By saying mobile is good enough, FCC could find that deployment problem is solved.