Language Selection

English French German Italian Portuguese Spanish

Yikes! Mad Cow Cover-Up?

Dr. Lester Friedlander, a former USDA vet, had been blowing the whistle on the USDA beef inspection practices before the latest case of BSE was confirmed. Dr. Friedlander said that inspectors are allowed only 15 seconds of inspection and that unhygenic practices are common in the meat industry; practices such as cow carcass abscesses being hosed off, wrapped up and shipped to the consumer.

The Organic Consumers Association reported last year that hundreds of people are dying in the US each year from CJD (the human counterpart of BSE) and the deaths are being written off as "unexplainable". The disease causes holes in the brains of the victims.

Friedlander also claims that some supervisors were more concerned about falsifying inspection documents than protecting consumers. Dr. Friedlander claims that on June 9,2005, a cow in Texas BSE symptoms was sent straight to the rendering plant without testing.

Oh man, up until this latest Mad Cow scare, I used to eat red meat slash beef about 6 out of 7 nights, being your properly raised southern belle! Seems I'll have to rethink my menu! Big Grin

More in Tux Machines

Android Leftovers

Development News: LLVM, TensorFlow

  • The New Features Of LLVM 4.0 & Clang 4.0
    LLVM/Clang 4.0 are running a few days behind schedule but should be released in the very near future. With that said, here's our usual look at the new features of this next compiler infrastructure and C/C++ compiler front-end updates.
  • 3 cool machine learning projects using TensorFlow and the Raspberry Pi
    In early 2017, the Raspberry Pi Foundation announced a Google developer survey, which requested feedback from the maker community on what tools they wanted on the Raspberry Pi. The blog post says that Google has developed tools for machine learning, IoT, wearables, robotics, and home automation, and that the survey mentions face- and emotion-recognition, speech-to-text translation, natural language processing, and sentiment analysis. "The survey will help them get a feel for the Raspberry Pi community, but it'll also help us get the kinds of services we need," the post explains. Meanwhile, data scientists aren't waiting around to put Google's TensorFlow, an open source software library for machine learning, to work on the Raspberry Pi. Let's take a look at a few cool examples of machine learning with TensorFlow on the Raspberry Pi.

Security Leftovers

Linux Graphics