Remove Arts Remove Evaluation Remove Language
article thumbnail

Evaluating speech synthesis in many languages with SQuId

Google Research AI blog

Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Such evaluation is a major bottleneck in the development of multilingual speech systems.

article thumbnail

PaLM-E: An embodied multimodal language model

Google Research AI blog

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.

Language 124
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

Language 132
article thumbnail

A vision-language approach for foundational UI understanding

Google Research AI blog

In “ Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus ”, accepted for publication at ICLR 2023 , we present a vision-only approach that aims to achieve general UI understanding completely from raw pixels. Spotlight drastically exceeded the state-of-the-art across four UI modeling tasks. Tappability - - - 87.9

Language 122
article thumbnail

Retrieval-augmented visual-language pre-training

Google Research AI blog

These models achieve state-of-the-art results on downstream tasks, such as image captioning, visual question answering and open vocabulary recognition. In the fields of natural language processing ( RETRO , REALM ) and computer vision ( KAT ), researchers have attempted to address these challenges using retrieval-augmented models.

Language 113
article thumbnail

An Evolution of Evaluation in Grantmaking With a Participatory Lens

sgEngage

Power Imbalance in Traditional Evaluation As grantmakers, we tend to monitor and evaluate our strategies and programs using metrics that we deem important. On its face, evaluation seems like a neutral activity, designed to help us understand what’s happened, and to change course where needed. Who decides what is measured?

article thumbnail

Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting

Google Research AI blog

EditBench The EditBench dataset for text-guided image inpainting evaluation contains 240 images, with 120 generated and 120 natural images. EditBench captures a wide variety of language, image types, and levels of text prompt specificity (i.e., In the section below, we demonstrate how EditBench is applied to model evaluation.