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November 5, 2020

AI / Google

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Learn about a new open-source benchmark and suite of simulated tasks for robotic manipulation of deformable objects — including cables, fabrics and bags — with a set of model architectures that enable learning complex relative spatial relations. https://goo.gle/3ofyfnQ

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Google AI@GoogleAI·

11 May

Building visual and vision-language representations can rely on curated datasets that require expert knowledge and extensive labelling, hindering the scale of models. ALIGN is a new approach that leverages existing, noisy alt-text data with SotA results. https://goo.gle/33Bxw6U

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Google AI@GoogleAI·

11 May

#MediaPipe BlazePose GHUM 3D (http://goo.gle/2PObiaO) is now 3x more accurate, achieving state-of-the-art performance while offering new lite and heavy versions to cover every device and use case! Try it out at http://solutions.mediapipe.dev/pose for Python, JS, Android and iOS!

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Google AI@GoogleAI·

10 May

Today on the AI Blog we present two research papers that explore how to leverage #MachineLearning to enable potential new avenues for research in the fields of vision, accessibility and wellness. Check it out at https://goo.gle/3vS6G6L

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Google AI@GoogleAI·

10 May

Congrats to the authors of “Everyone wants to do the model work, not the data work..." (http://goo.gle/2Qb5TPa) and "RadarNet: Efficient Gesture Recognition Technique ..." (http://goo.gle/3ezJt3f), both recipients of #CHI2021 Best Paper Awards at this weeks @sig_chi conference!

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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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Breaking down global barriers to access

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