AI Bias Analysis
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These glasses are a step back from an ambitious plan that once called for Apple to launch a variety of mixed and augmented reality devices.
Source
TechCrunch
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Apple may be late to the smart glasses market, but it could be covering all its bases with up to four potential styles for its upcoming product. According to Bloomberg's Mark Gurman, Apple could launch some or all of the four styles it's currently testing for its smart glasses. Gurman reported Apple is testing out a large rectangular frame that's comparable to Ray-Ban Wayfarers, a slimmer rectangular design like the glasses that Apple CEO Tim Cook wears, a larger oval or circular frame and a sma
I mean, I guess it kinda looks like the moon? | Image: Kate NV / RVNG Intl. For obvious reasons, I've had Moon on the mind all week. So I was trying to figure out what I should recommend this week that would thematically fit. Brian Eno's Apollo: Atmospheres and Soundtracks is incredible, and if you haven't listened to it, go do that now. But it also seemed a bit on the nose. Radiohead's A Moon Shaped Pool also came to mind. But it also felt a bit obvious. Then I remembered Kate NV's Room for t
Immigration and Customs Enforcement has a certain Redditor in its crosshairs and it's now strong-arming the social media platform to reveal who they are with a grand jury subpoena, according to a report from The Intercept. The nonprofit news outlet was able to obtain the subpoena that ordered Reddit to provide info on one of its users who's been accused of criticizing ICE by April 14. According to the report, ICE has been trying to identify this Redditor for a month without success. More specifi
Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may fail to see today's sophisticated threats. Recognizing the early signs of data drift is the first step in maintaining reliable
