polgar
What's so funny about technology?
Leonardo and David Ryan Polgar were running behind schedule for their show -- technical difficulties with the projector -- then came out for a cold open. "Tonight, we're talking about the future of work," said Polgar. "What are you worried about with the future of work, Joe?" "We're all gonna be replaced with robots," Leonardo shot back, looking half expectantly at the crowd of about 30 people, who looked back. Polgar moved on to the recent Boston Dynamics video, which bears a disturbing resemblance to the Black Mirror episode "Metalhead." A four-legged robot precisely opens a door for another robot, then holds it for the companion to enter. "They're already making me look bad, because there's, like chivalry in robots now," Leonardo said, to murmurs of chuckles.
Are engineers responsible for the consequences of their algorithms?
It's become a custom for some protesters to cover their faces during public demonstrations. Now, it seems, technology could outwit them: a team of engineers has created an algorithm that can identify faces that are partially covered. The algorithm identifies faces using angles at 14 different points on the face, according to a paper published on the preprint server arXiv to be presented at the IEEE International Conference on Computer Vision Workshops in October. The researchers trained and validated the algorithm, which relies on a form of artificial intelligence called deep learning, using a dataset of 1500 images of 25 human faces. Each face was partially obscured by one or more of ten disguises (such as sunglasses, a face scarf, or a hat) and eight complex backgrounds to simulate real-world photos.
20 Years Later, Humans Still No Match For Computers On The Chessboard
World chess champion Magnes Carlsen (right) won't play his computer or play the game like a computer. Instead, he chooses his strategy based on what he knows about his opponent. World chess champion Magnes Carlsen (right) won't play his computer or play the game like a computer. Instead, he chooses his strategy based on what he knows about his opponent. Next month, there's a world chess championship match in New York City, and the two competitors, the assembled grandmasters, the budding chess prodigies, the older chess fans -- everyone paying attention -- will know this indisputable fact: A computer could win the match hands down. They've known as much for almost 20 years -- ever since May 11, 1997.
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Next month, there's a world chess championship match in New York City, and the two competitors, the assembled grandmasters, the budding chess prodigies, the older chess fans -- everyone paying attention -- will know this indisputable fact: A computer could win the match hands down. They've known as much for almost 20 years -- ever since May 11, 1997. On that day, IBM's Deep Blue defeated the great Garry Kasparov who, after an early blunder, resigned in defeat. "I am ashamed by what I did at the end of this match. But so be it," Kasparov said.
20 Years Later, Humans Still No Match For Computers On The Chessboard
World chess champion Magnes Carlsen (right) won't play his computer or play the game like a computer. Instead, he chooses his strategy based on what he knows about his opponent. World chess champion Magnes Carlsen (right) won't play his computer or play the game like a computer. Instead, he chooses his strategy based on what he knows about his opponent. Next month, there's a world chess championship match in New York City, and the two competitors, the assembled grandmasters, the budding chess prodigies, the older chess fans -- everyone paying attention -- will know this indisputable fact: A computer could win the match hands down. They've known as much for almost 20 years -- ever since May 11, 1997.