The Next Input updates 993 published updates 993 gepubliceerde updates

The Next Input updates The Next Input-updates

Browse every published The Next Input update in a calm card overview with images, dates, and direct access to each article. Bekijk alle gepubliceerde The Next Input-updates in een rustig kaartenoverzicht met beelden, datums en directe toegang tot elk artikel.

The Next Input update The Next Input-update

The Next Input
9 Nov 2016 9 nov. 2016

RL²: Fast reinforcement learning via slow reinforcement learning RL²: Fast reinforcement learning via slow reinforcement learning

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The Next Input update The Next Input-update

The Next Input
8 Nov 2016 8 nov. 2016

Variational lossy autoencoder Variational lossy autoencoder

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The Next Input update The Next Input-update

The Next Input
2 Nov 2016 2 nov. 2016

Extensions and limitations of the neural GPU Extensions and limitations of the neural GPU

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The Next Input update The Next Input-update

The Next Input
18 Oct 2016 18 okt. 2016

Semi-supervised knowledge transfer for deep learning from private training data Semi-supervised knowledge transfer for deep learning from private training data

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The Next Input update The Next Input-update

The Next Input
13 Oct 2016 13 okt. 2016

Report from the self-organizing conference Report from the self-organizing conference

Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning. Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.

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The Next Input update The Next Input-update

The Next Input
11 Oct 2016 11 okt. 2016

Transfer from simulation to real world through learning deep inverse dynamics model Transfer from simulation to real world through learning deep inverse dynamics model

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The Next Input update The Next Input-update

The Next Input
29 Aug 2016 29 aug. 2016

Infrastructure for deep learning Infrastructure for deep learning

Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure. Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.

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The Next Input update The Next Input-update

The Next Input
18 Aug 2016 18 aug. 2016

Machine Learning Unconference Machine Learning Unconference

Title: Machine Learning Unconference Title: Machine Learning Unconference

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The Next Input update The Next Input-update

The Next Input
16 Aug 2016 16 aug. 2016

Team update Team update

We’ve hired more great people to help us achieve our goals. Welcome, everyone! We’ve hired more great people to help us achieve our goals. Welcome, everyone!

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The Next Input update The Next Input-update

The Next Input
28 Jul 2016 28 jul. 2016

Special projects Special projects

Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter. Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.

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The Next Input update The Next Input-update

The Next Input
21 Jun 2016 21 jun. 2016

Concrete AI safety problems Concrete AI safety problems

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The Next Input update The Next Input-update

The Next Input
20 Jun 2016 20 jun. 2016

OpenAI technical goals OpenAI technical goals

OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible. OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.

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