A new update on the ride-sharing app Uber has some users upset and creeped out.
BuzzFeed News reported that a number of Uber users are not comfortable with the app’s update in which it announced that it will collect users’ location data for up to five minutes after they arrive at their destinations..
NPR reported that users became aware of the update via a prompt to accept the change through a pop-up notification on their phones.
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With the advent of photography, a tiny fraction of 19th-century scientists believed they could develop methods of accurately identifying criminals by their facial features. While their hypotheses were eventually discredited, new artificial intelligence technology suggests their claims might’ve been valid after all.
Xiaolin Wu and Xi Zhang from Shanghai Jiao Tong University in China have resurrected this facial recognition tradition and built a neural network that can supposedly pick out criminals by simply looking at their faces.
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The Pentagon has buried an internal study that exposed $125 billion in administrative waste in its business operations amid fears Congress would use the findings as an excuse to slash the defense budget, according to interviews and confidential memos obtained by The Washington Post.
Read the Full Article: Source – The Washington Post
Time For Truth: (The Washington Post) – Pentagon buries evidence of $125 billion in bureaucratic waste
Defensive weapons that can intercept and destroy enemy missiles before they can harm the United States or its allies have been a key part of military strategy for decades, but the rules of the game are changing.
More countries have or are developing long-range missile technology, including systems that can carry multiple warheads, known as Multiple Independently Targetable Re-entry Vehicles (MIRVs) and/or decoys.
Read the Full Article: Source – Space
Time For Truth: (Space) – US Military Develops 'Multi-Object Kill Vehicle' to Blast Enemy Nukes
With the advent of photography, a tiny fraction of 19th-century scientists believed they could develop methods of accurately identifying criminals by their facial features. While their hypotheses were eventually discredited, new artificial intelligence technology suggests their claims might’ve been valid after all.
Xiaolin Wu and Xi Zhang from Shanghai Jiao Tong University in China have resurrected this facial recognition tradition and built a neural network that can supposedly pick out criminals by simply looking at their faces.
Read More