Google Research AI blog

MARCH 24, 2023

To this end, we are continuing to work with our co-authors at partner institutions like Chang Gung Memorial Hospital in Taiwan, Aravind Eye Hospital in India, and EyePACS in the United States to collect datasets of imagery captured on smartphones. Maa, Ramasamy Kim, Eugene Yu-Chuan Kang, Yossi Matias, Greg S. Daskivich, April Y.

Software Engineer 125

Software Engineer Deep Learning 125

Viso.ai

APRIL 25, 2024

Viso Suite: the only end-to-end computer vision platform Lightweight Models for Face Recognition DeepFace – Lightweight Face Recognition Analyzing Facial Attribute DeepFace AI is Python’s lightweight face recognition and facial attribute library. MobileFaceNets (MFN) – CNNs for Real-Time Face Verification Chen et al.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52

Google Research AI blog

JUNE 13, 2023

Posted by Junfeng He, Senior Research Scientist, and Kai Kohlhoff, Staff Research Scientist, Google Research People have the remarkable ability to take in a tremendous amount of information (estimated to be ~10 10 bits/s entering the retina) and selectively attend to a few task-relevant and interesting regions for further processing (e.g.,

Computer Vision 78

Computer Vision Neural Network Software Engineer Machine Learning 78

Google Research AI blog

MAY 26, 2023

Acknowledgments The authors of this post are now part of Google DeepMind. We would like to thank our co-authors at Google DeepMind and our collaborators at Google Research: Wenhao Yu, J.

Robotics 98

Robotics Computer Vision Machine Learning OpenAI 98

Google Research AI blog

MARCH 10, 2023

Co-authors: Igor Mordatch, Andy Zeng, Aakanksha Chowdhery, Klaus Greff, Mehdi S. Acknowledgements This work was done in collaboration across several teams at Google, including the Robotics at Google team and the Brain team, and with TU Berlin. Danny is a PhD student advised by Marc Toussaint at TU Berlin.

Robotics 124

Robotics Auto-complete Large Language Models Neural Network 124

Sebastian Ruder

JANUARY 19, 2021

What's next?  I  I am hopeful that—in light of the increasing interest in efficiency and the availability of tools—it will become more common not only to report a model's performance and number of parameters but also its energy efficiency. What's next?  Retrieval-augmented

NLP 52

NLP ML Computer Vision Natural Language Processing 52

Sebastian Ruder

JANUARY 24, 2022

What’s next?   What’s next?   What’s next?   What’s next?   What’s next?   Consequently, 2021 saw much discussion of best practices and ways in which we can reliably evaluate such models going forward, which I cover in this blog post.

NLP 52

NLP ML BERT Computational Linguistics 52

ML Review

MARCH 5, 2019

For an awesome blog on more recent techniques for word embeddings and sentence/document embeddings check here and this repo for a list of all the recent papers in this space. S., & Dean, J. In our case, we deliberately use the whole full-text of an ArXiv submission as the document. Paper Search, baby. References Harris, Z.

AI 40

AI AI Computer Vision Computational Linguistics 40

Probably Approximately a Scientific Blog

JANUARY 3, 2016

We then update elevator 's vector by increasing the number of occurrences in the indices of the, left, goes, and down. Analogies - Following the above figure, the authors of this paper presented some nice results regarding the vectors' ability to solve analogy questions: a is to b as c is to d ; given a, b, and c , find the missing word d.

Natural Language Processing 52

Natural Language Processing Algorithm Deep Learning NLP 52

ML Review

JUNE 4, 2018

The authors introduce a variation to the image captioning task called dense captioning where the model describes individual parts of the image (denoted by bounding boxes). However, if we placed ourselves in the position of captioner, how would we decide on the appropriate caption(s)? With these technical improvements, Johnson et al.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. O’Neil, E., & Chen, X. Dean, J., & Ghemawat, S. Morgan Kaufmann.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52