From unlikely start-up to major scientific organisation: Entering our tenth year at DeepMind

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December 5, 2019

AI / Google

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Google AI@GoogleAI·

6 May

Congratulations to the Googlers recognized as new @sig_chi Academy Members at the #chi2021 Awards Ceremony - Sunny Consolvo, Merrie Morris (@merrierm), Fernanda Viégas (@viegasf) and Allison Woodruff. Learn more at https://sigchi.org/awards/sigchi-award-recipients/2020-sigchi-awards/ and https://sigchi.org/awards/sigchi-award-recipients/2021-sigchi-awards/

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Google AI@GoogleAI·

6 May

Datasets that pair images with captions are widely used to build #DeepLearning captioning models, but these datasets’ missing cross-modal associations limit both research and practical applications. Learn how Crisscrossed Captions addresses the gap at https://goo.gle/3h2cRku

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Google AI@GoogleAI·

5 May

Existing text-editing models are either fast or flexible, but not both. Learn about FELIX, a fast and flexible text-editing model that achieves state-of-the-art performance with a 90x speed-up compared to seq2seq approaches. Read more and grab the code → https://goo.gle/33lrCXo

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Google AI@GoogleAI·

4 May

Today we present a systematic study comparing wide and deep #NeuralNetworks through the lens of their hidden representations and outputs. Learn how similarities between model layers can inform researchers about model performance and behavior at https://goo.gle/3xOlm8A

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Google AI@GoogleAI·

3 May

Head over to the Google AI blog to see the research we are presenting at #ICLR2021, which kicked off this week. If you’re registered at this @iclr_conf, visit the online Google booth to learn even more about our research being presented! #DeepLearning https://goo.gle/2QPJWp3

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Google AI@GoogleAI·

29 Apr

Today we describe RecSim NG, a next generation simulator for recommender systems research and development that extends RecSim to address the gap between simulation and real-world applications. Learn more and grab the code at https://goo.gle/3e4D3sN

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Google AI@GoogleAI·

28 Apr

Introducing a model-based #RL approach for robot navigation, called hierarchical predictive planning (HPP), that enables agents to align their goals on the fly in order to solve the decentralized rendezvous task. Learn more at https://goo.gle/3sZSyqb

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Google AI@GoogleAI·

27 Apr

Reconstructing the 3D world from 2D video requires monocular depth estimation and video panoptic segmentation, but they are typically considered separately. Today we present ViP-DeepLab, which does both at once while achieving state-of-the-art performance→https://goo.gle/2S9BVM0

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Google AI@GoogleAI·

23 Apr

While burst photography enables the capture of high-quality images on mobile, it can result in noisy shadows in scenes with high dynamic range (HDR). Learn how HDR+ with Bracketing merges multiple frames with different exposures to improve image quality → https://goo.gle/3aBHp8B

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Google AI@GoogleAI·

22 Apr

Today we present a new approach for automated discovery of generalizable #ReinforcementLearning algorithms that evolves a population of loss functions — represented by computational graphs — over a set of simple training environments. Learn more at https://goo.gle/3dFzDML

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