Google Research AI blog

APRIL 21, 2023

It usually involves a cross-functional team of ML practitioners who fine-tune the models, evaluate robustness, characterize strengths and weaknesses, inspect performance in the end-use context, and develop the applications. Sign up to be notified when Visual Blocks for ML is publicly available.

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Interaction Learning Tools Evaluation 121

Google Research AI blog

APRIL 23, 2023

Taylor , Ding Wang Visual Captions: Augmenting Verbal Communication with On-the-Fly Visuals Xingyu "Bruce" Liu , Vladimir Kirilyuk , Xiuxiu Yuan , Alex Olwal , Peggy Chi , Xiang "Anthony" Chen , Ruofei Du Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology ( Best Paper Award ) Lauren Wilcox , Renee (..)

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Google Jing Language Interaction 85

Google Research AI blog

APRIL 30, 2023

Liu SMART: Sentences as Basic Units for Text Evaluation Reinald Kim Amplayo , Peter J. Zhao , Ji Ma , Yi Luan , Jianmo Ni , Jing Lu , Anton Bakalov , Kelvin Guu , Keith B. Dillon Calibrating Sequence Likelihood Improves Conditional Language Generation Yao Zhao , Misha Khalman , Rishabh Joshi , Shashi Narayan , Mohammad Saleh , Peter J.

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Google Language Model Jing 105

Google Research AI blog

JUNE 6, 2023

Performance To evaluate the utility of the trained Visual Captions model, we invited 89 participants to perform 846 tasks. Technical evaluation results of the visual prediction model rated by study participants. During training, our model reached a training token accuracy of 97% and a validation token accuracy of 87%.

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Language Model Video Conference 69

Google Research AI blog

JUNE 18, 2023

Barron Program Advisory Board includes: Cordelia Schmid , Richard Szeliski Panels History and Future of Artificial Intelligence and Computer Vision Panelists include: Chelsea Finn Scientific Discovery and the Environment Panelists include: Sara Beery Best Paper Award candidates MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient (..)

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Google Language Images Model 116

Google Research AI blog

DECEMBER 7, 2022

Martins Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing Linlu Qiu*, Peter Shaw , Panupong Pasupat , Tianze Shi , Jonathan Herzig , Emily Pitler , Fei Sha , Kristina Toutanova MasakhaNER 2.0: Zhao , Yi Luan , Keith B.

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Google United Arab Emirates Language Tutorial 52

Beth's Blog: How Nonprofits Can Use Social Media

AUGUST 10, 2007

"We can't talk about transparency, accountability and honest evaluation without addressing the contentious topic of failure. Some beta work is happening on this with TechSmith's " Jing Project ," an application that allows you easily embed screencasts into conversations on both PC and MAC platform.

Nptech 50

Nptech Summary Language Advocacy 50