Briefly: National Geographic's Photo of the Day — captured by Simon Kwan — shows Hong Kong in all its glorious urban madness. When I first saw it I thought it was a collage made with multiple shots and mirrored images. It's not. It's just the city photographed from Beacon Hill.
I Don't Know Where Buildings Start Or End In This Crazy Photo Of Hong Kong
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Gotham’s dysfunctional villains have been so interesting to watch develop because the show introduces each of them at various stages in their journeys to becoming part of the classic Batman rogues’ gallery we’re all familiar with. Some characters’ paths have been in line with the traditional comics lore, while others are wildly reinvented.
When we talk about how artificial threatens to impact jobs, we’re usually talking about how machine learning threatens to impact jobs. As the ‘hottest’ subfield of AI going, i.e. the one receiving the lion’s share of the research dollars and commercial investment, it’s pretty crucial to understand how, specifically, it’s going to roll out in offices and workplaces. Which jobs, and which tasks within those jobs, it stands to automate. Yet while a number of studies have endeavoured to examine the impact of automation writ large on the employment picture, fewer have homed in on machine learning specifically.