Posted by Lucas Beyer and Alexander Kolesnikov, Research Engineers, Google Research, Zürich A common refrain for computer vision researc...
Google AIPresenting BiT, an open-source approach for large-scale pre-training of models covering a wide range of visual tasks, which highlights the importance of choices in the model architecture for downstream performance. Learn all about it below
Posted by Christine Kaeser-Chen, Software Engineer and Serge Belongie, Visiting Faculty, Google Research Fine-grained visual categorizat...
Google AIAnnouncing the 2020 Fine-Grained Visual Categorization Workshop, a digital event highlighting #FGVC7 challenge results, covering topics such as wildlife camera traps, plant pathology, birds, herbarium sheets, apparel, and museum artifacts. Read more ↓ goo.gle/2TnVOwBpic.twitter.com/lzKwSMrRZ2
Posted by Yuan Liu, PhD, Software Engineer and Peggy Bui, MD, Technical Program Manager, Google Health An estimated 1.9 billion people w...
Google AIWe are excited to announce that our paper, “A Deep Learning System for Differential Diagnosis of Skin Diseases", has been published in @NatureMedicine. You can see the paper and learn more about this research in our blog post! ↓
Posted by Alex Olwal, Research Scientist, Google Research Textiles have the potential to help technology blend into our everyday environ...
Google AICheck out recent research that applies #MachineLearning, combined with interactive braided textiles, to enable interaction using both discrete and continuous gestures, plus visual feedback. Learn more ↓ goo.gle/2T6ls8Ppic.twitter.com/WDGjbPsRgt
Posted by Eleni Triantafillou, Student Researcher, and Vincent Dumoulin, Research Scientist, Google Research Recently, deep learning has...
Google AIAnnouncing Meta-Dataset, a large-scale and diverse benchmark for measuring the competence of image classification models in a realistic and challenging few-shot setting. Read all about it, including comparative performance on many current models, below
Posted by Dami Choi, Student Researcher and George Dahl, Senior Research Scientist, Google Research Over the past decade, dramatic incre...
Google AICheck out this simple technique that reuses intermediate outputs from a neural network training pipeline to reclaim idle accelerator capacity. Rather than waiting for data coming from earlier bottlenecks, it uses data already available for training.
Posted by Keith Hall, Research Scientist, Natural Language Understanding, Google Research Due to the COVID-19 pandemic, scientists and r...
Google AIFor researchers poring over COVID-19 literature, we developed the COVID-19 Research Explorer to help find relevant papers and highlight evidence for complex scientific questions. Learn more about the tool at goo.gle/2SzvVt7pic.twitter.com/fqNzetzrKg
Posted by Thomas Müller, Software Engineer, Google Research Much of the world’s information is stored in the form of tables, which can b...
Google AIMuch of the world’s information is stored in table form. TAPAS, a new model based on the #BERT architecture, is optimized for parsing tabular data over a wide range of structures and domains for application to question-answering tasks. Learn more below
Posted by Ted Baltz, Senior Staff Software Engineer, Google Research, Accelerated Science Team Humans have a long history with yeast, ti...
Google AIIn collaboration with @calico, we present a new genome-wide model to predict the regulation of gene expression in yeast (#SaccharomycesCerevisiae), enabling future investigation into more complex and less understood biological systems. Learn more at goo.gle/35hcXN3pic.twitter.com/LWUF3r5qRw
Posted by John Wilkes, Principal Software Engineer, Google Cloud Google’s Borg cluster management system supports our computational fle...
Google AITo support research into cloud computing and cluster scheduling, we are releasing a new 29-day trace of the Borg cluster management system, which captures scheduling decisions and resource usage for Google’s computational fleet. Learn more & get the data ↓
Posted by Alexey Dosovitskiy, Research Scientist, Google Research In many machine learning applications the performance of a model canno...
Google AIPresenting a novel approach for concurrently training a single #MachineLearning model on multiple loss functions, with wide ranging applications from #StyleTransfer to #ImageCompression. See how it’s done at goo.gle/3ePniUS. pic.twitter.com/8xQIf2QT0Z
Posted by Christian Howard, Google Research This week marks the beginning of the 8th International Conference on Learning Representations ...
Google AIHead over to Google AI blog to learn about the research we are presenting at #ICLR2020 this week. If you’re registered at this fully virtual @iclr_conf, visit the online Google booth to learn even more about our research! #DeepLearning #MachineLearning
Posted by Anna Goldie, Senior Software Engineer and Azalia Mirhoseini, Senior Research Scientist, Google Research, Brain Team The revolu...
Google AICheck out a new deep #ReinforcementLearning approach to hardware accelerator chip design, which rapidly generates chip placements that exhibit competitive performance with their manually designed counterparts. Read more ↓ goo.gle/3awYoWHpic.twitter.com/O4gINgoYQ3
Posted by Melvin Johnson, Senior Software Engineer, Google Research Machine learning (ML) models for language translation can be skewed ...
Google AIIntroducing a scalable approach to reducing gender bias in #GoogleTranslate, with applications to new translation pairs, including Finnish, Hungarian, and Persian-to-English. Check it out ↓
Posted by Xingyou (Richard) Song, Software Engineer and Yuxiang Yang, AI Resident, Robotics at Google Rapid development of more accurate...
Google AIWe present a new approach for training robot mobility that produces a policy that can quickly overcome the gap between simulation and real-world applications, enabling a robot to adapt to dynamic changes in its environment. Learn more ↓ goo.gle/2KpIfbapic.twitter.com/JCX7TQddr5
Google AIAnnouncing the 2020 Fine Grained Visual Categorization Challenges, which include four sequels to last year’s events plus two new challenges — Semi-Supervised Aves and Plant Pathology. Results to be showcased at the #CVPR2020 @FGVCworkshop. Learn more ↓
Posted by Ali Mousavi, AI Resident and Lihong Li, Research Scientist, Google Research In conventional reinforcement learning (RL) setti...
Google AIIntroducing a new approach for evaluating a #ReinforcementLearning policy entirely from offline data, with demonstrated performance on a number of classical control benchmarks. Learn more below.
Posted by Mingxing Tan, Software Engineer and Adams Yu, Research Scientist, Google Research As one of the core applications in computer ...
Google AICheck out EfficientDet: a new class of state-of-the-art object detectors that provide an order of magnitude better efficiency, released along with all code and pre-trained models. Learn more below!
Posted by Rishabh Agarwal, AI Resident and Mohammad Norouzi, Research Scientist, Google Research “The potential for off-policy learning ...
Google AIToday, we present new research on offline #ReinforcementLearning to create a data-driven paradigm for real-world applications, along with the release of the DQN Replay Dataset to facilitate research in this exciting area. Learn more at goo.gle/2K5Viyopic.twitter.com/K8bAHAKkUZ
Posted by Melvin Johnson, Senior Software Engineer, Google Research and Sebastian Ruder, Research Scientist, DeepMind One of the key chal...
Google AIAnnouncing XTREME, a new #NaturalLanguageProcessing benchmark for cross-lingual generalization, which covers 40 typologically diverse languages using nine tasks that collectively require reasoning about different levels of syntax or semantics. Learn more ↓