Atreus Time Travel Read

Atreus Time Travel Read

Atreus Time Travel Read

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10 years ago

Hibernation For Travel

Hibernation For Travel


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10 years ago

Samantha Margared Liesbeth

Samantha Margared Liesbeth

10 years ago

Slave Copying Device

Slave Copying Device

8 years ago

Hit Points Compiler

Hit Points Compiler

10 years ago

Man Portable Replicators

Man Portable Replicators

9 years ago
Eva Longoria

Eva Longoria

10 years ago

Hibernation For Travel

Hibernation For Travel

10 years ago

algopop:

“Google no longer understands how its “deep learning” decision-making computer systems have made themselves so good at recognizing things in photos.

What stunned [Google Software Engineer] Quoc V. Le is that the software has learned to pick out features in things like paper shredders that people can’t easily spot – you’ve seen one shredder, you’ve seen them all, practically. But not so for Google’s monster.

Many of Quoc’s pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. The computer system has a greater success rate, and he isn’t quite sure how he could write a program to do this.

Google researchers can no longer explain exactly how the system has learned to spot certain objects, because the programming appears to think independently from its creators, and its complex cognitive processes are inscrutable. "

Via The Register

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8 years ago

The Chronovisor

The Chronovisor

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