Dozens at Facebook Unite to Challenge Its ‘Intolerant’ Liberal Culture – The New York Times

…The aim of the initiative, according to Mr. Amerige’s memo, is to create a space for ideological diversity within the company.

The new group has upset other Facebook employees, who said its online posts were offensive to minorities. One engineer, who declined to be identified for fear of retaliation, said several people had lodged complaints with their managers about FB’ers for Political Diversity and were told that it had not broken any company rules.

https://www.nytimes.com/2018/08/28/technology/inside-facebook-employees-political-bias.html

New AI camera could revolutionize autonomous vehicles | Stanford News


Now, researchers at Stanford University have devised a new type of artificially intelligent camera system that can classify images faster and more energy efficiently, and that could one day be built small enough to be embedded in the devices themselves, something that is not possible today. The work was published in the August 17 Nature Scientific Reports.

https://news.stanford.edu/2018/08/17/new-ai-camera-revolutionize-autonomous-vehicles/

New investment rules will squeeze US-China flows – FT

Marketing slogans aside, since at least the 1980s there has been no presumption that US companies had to operate in the national interest. Goods, capital, and labour could move where they liked — that is the definition of globalisation. Most people believed that if US companies did well, Americans would prosper. But, as the past several decades of wage stagnation have shown, the fortunes of US companies and consumers are now fundamentally disconnected.

The wealth gap alone wasn’t enough to persuade politicians from either party to rethink the rules. But China is. While tariffs are President Donald Trump’s personal preoccupation, fears over losing an economic and cultural war (and possibly a real one at some point) with China is a worry that is shared broadly in the US, no matter what circles you travel in.

https://www.ft.com/content/607db618-9bbe-11e8-ab77-f854c65a4465

New investment rules will squeeze US-China flows – Financier Times

Marketing slogans aside, since at least the 1980s there has been no presumption that US companies had to operate in the national interest. Goods, capital, and labour could move where they liked — that is the definition of globalisation. Most people believed that if US companies did well, Americans would prosper. But, as the past several decades of wage stagnation have shown, the fortunes of US companies and consumers are now fundamentally disconnected.

The wealth gap alone wasn’t enough to persuade politicians from either party to rethink the rules. But China is. While tariffs are President Donald Trump’s personal preoccupation, fears over losing an economic and cultural war (and possibly a real one at some point) with China is a worry that is shared broadly in the US, no matter what circles you travel in.

https://www.ft.com/content/607db618-9bbe-11e8-ab77-f854c65a4465

Are You Listening? Hear What Uninterrupted Silence Sounds Like : NPR

“In a forest like this, it’s so dense, I can only see maybe 50 yards in one direction, if you’re lucky,” he says. “But I can hear for miles.”

That sense, of how far you can hear, is known as your auditory horizon, and much of the time — indoors or in a city, for example — it doesn’t extend very far. But in the forest, with eyes closed and a little focus, it sprawls.

“In a place like this your auditory horizon isn’t just 1 or 2 miles,” he says. “You can hear everything that’s happening in this valley. … It’s like we’re listening to 5 miles or 10 miles around us right now. It’s crazy.”

https://www.npr.org/2018/08/10/633201540/are-you-listening-hear-what-uninterrupted-silence-sounds-like

A small team of student AI coders beats Google’s machine-learning code – MIT Technology Review

Fast.ai consists of part-time students keen to try their hand at machine learning—and perhaps transition into a career in data science. It rents access to computers in Amazon’s cloud.

But Fast.ai’s team built an algorithm that beats Google’s code, as measured using a benchmark called DAWNBench, from researchers at Stanford. This benchmark uses a common image classification task to track the speed of a deep-learning algorithm per dollar of compute power.

https://www.technologyreview.com/s/611858/small-team-of-ai-coders-beats-googles-code/

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