Having cut my travel-writing teeth on the dialup-era internet, I’ll confess that my social-media chops haven’t really grown in tandem with the explosion of social-media itself. I’m grateful that, over the years, my writing (and my bookVagabondingin particular) has been influential, but...
Burgundy. An autumnal classic, the moody red shade has positively owned the burgeoning season so far, and if you need proof, look no further than the ever-influential Zendaya. James Devaney//Getty Images The star and her boyfriend (and fellow Spider-Man actor) Tom Holland both stepped out...
In transitionalChina, his theories have become particularly popular andinfluential.Professor Coase learned about China through readingthe travels of Marco Polo in his school days, and his fasci-nation with China has lasted ever since. In 1980, he urgedhis friend, Professor Steven Cheung, to ...
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According to historical reports Genghis Khan and Marco Polo used to drink it and Cleopatra bathed in it. Kefir success was initially built on stories spreading by word of mouth from village to village. We are now all connected via technology and social media. But, we are shari...
The traditional assumption was that engaging and trading with China would lead it to become more liberal and even democratic. In 2018, it is clear that such a transformation is not happening. China's economic freedoms have not been complemented by increasing political freedoms. Now, the U.S. ...
If the previous collection was a statement of arrival, this was a hint of what was to come. “Ultimately, I wanted to take the brand into a place that was more elegant, more refined," says Philipakos. Influential streetwear website Hypebeast stated that Venezia was “making its stamp on...
Grad-CAM (gradient-weighted class activation mapping) [109] is a technique used in computer vision and deep learning to visualize and interpret the regions of an image that are most influential in the prediction made by a convolutional neural network. Hence, in the proposed methodology, the ...
Grad-CAM (gradient-weighted class activation mapping) [109] is a technique used in computer vision and deep learning to visualize and interpret the regions of an image that are most influential in the prediction made by a convolutional neural network. Hence, in the proposed methodology, the ...