lindaliukas + book4   258

The Winograd Schema Challenge
… The Winograd Schema Challenge!
book4 
january 2018 by lindaliukas
Twitter
"My son’s practice conversation with Siri is translating into more facility with actual humans. Yesterday I had the…
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january 2018 by lindaliukas
Twitter
I prefer seeing incredibly tiny neural nets do amazing things. Like a demoscene for deep learning.
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january 2018 by lindaliukas
Twitter
Xi Jinping reads “texts on understanding AI, AR, algorithms, and machine learning, including The Master Algorithm b…
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january 2018 by lindaliukas
Twitter
Well done summary by ! A central piece of technology is human, from human inspiration, to human inte…
AI  book4  from twitter_favs
december 2017 by lindaliukas
AI and Deep Learning in 2017 – A Year in Review – WildML
I wrote up a (not so brief) summary of AI developments that stood out to me in 2017
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december 2017 by lindaliukas
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What else could be improved with ML? Sorting? Compiler inlining? Garbage collection? Path finding? Fourier transfor…
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december 2017 by lindaliukas
What a Photobook Curated By a Computer Can Teach Us
“Their flaws are often of technical nature, show their political/racial/cultural biases, or are just the result of [people] using them wrong,” Schmitt told Hyperallergic. For instance, the aforementioned image of a big leaf, captioned as a Wii controller, is evidence of how software from Silicon Valley is engineered with biases.
book4 
december 2017 by lindaliukas
Twitter
Well, the neural network is learning… something…
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december 2017 by lindaliukas
Twitter
if this wasn't research it would be art: computer vision researchers learn about disappointment by watching "deal o…
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november 2017 by lindaliukas
Nature Machine – BLDGBLOG
“Just how deferential [autonomous vehicles] are toward wildlife will depend on human choices and ingenuity. For now,” she adds, “the heterogeneity and unpredictability of nature tends to confound the algorithms. In Australia, hopping kangaroos jumbled a self-driving Volvo’s ability to measure distance. In Boston, autonomous-vehicle sensors identified a flock of sea gulls as a single form rather than a collection of individual birds. Still, even the tiniest creatures could benefit. ‘The car could know: “O.K., this is a hot spot for frogs. It’s spring. It’s been raining. All the frogs will be moving across the road to find a mate,”’ Smith says. The vehicles could reroute to avoid flattening amphibians on that critical day.”
book4 
november 2017 by lindaliukas
The history of AI is a neural network of the greatest thoughts and minds of humankind
History of computing is so fascinating: who knew George Boole and George Hinton were related?
book4  book5 
october 2017 by lindaliukas
Robots Are Coming for These Wall Street Jobs
These are the Wall Street jobs that the robots are coming for.
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october 2017 by lindaliukas
Twitter
From today's video, visualizing what the second layer is looking for. Such a strange middle ground between random…
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october 2017 by lindaliukas
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