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How Underspecification Presents Challenges for Machine Learning

Posted by Alex D’Amour and Katherine Heller, Research Scientists, Google Research Machine learning (ML) models are being used more widely today than ever before and are becoming increasingly impactful. However, they often exhibit unexpected behavior when they are used in real-world domains. For example, computer vision models can exhibit surprising...

SimVLM: Simple Visual Language Model Pre-training with Weak Supervision

Posted by Zirui Wang, Student Researcher and Yuan Cao Research Scientist, Google Research, Brain Team Vision-language modeling grounds language understanding in corresponding visual inputs, which can be useful for the development of important products and tools. For example, an image captioning model generates natural language descriptions based on...

Baselines for Uncertainty and Robustness in Deep Learning

Posted by Zachary Nado, Research Engineer and Dustin Tran, Research Scientist, Google Research, Brain Team Machine learning (ML) is increasingly being used in real-world applications, so understanding the uncertainty and robustness of a model is necessary to ensure performance in practice. For example, how do models behave when deployed on data that...

An ML-based Framework for COVID-19 Epidemiology

Posted by Joel Shor, Software Engineer, Google Research and Sercan Arik, Research Scientist, Google Research, Cloud AI Team Over the past 20 months, the COVID-19 pandemic has had a profound impact on daily life, presented logistical challenges for businesses planning for supply and demand, and created difficulties for governments and organizations working...

Self-Supervised Learning Advances Medical Image Classification

Posted by Shekoofeh Azizi, AI Resident, Google Research In recent years, there has been increasing interest in applying deep learning to medical imaging tasks, with exciting progress in various applications like radiology, pathology and dermatology. Despite the interest, it remains challenging to develop medical imaging models, because high-quality...

Google at ICCV 2021

Posted by Cat Armato, Program Manager, Google Research The International Conference on Computer Vision 2021 (ICCV 2021), one of the world's premier conferences on computer vision, starts this week. A Champion Sponsor and leader in computer vision research, Google will have a strong presence at ICCV 2021 with more than 50 research presentations and involvement...

Finding Complex Metal Oxides for Technology Advancement

Posted by Lusann Yang, Software Engineer, Google Research, Applied Science Team A crystalline material has atoms systematically arranged in repeating units, with this structure and the elements it contains determining the material’s properties. For example, silicon’s crystal structure allows it to be widely used in the semiconductor industry, whereas...

Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning

Posted by Maarten Bosma, Research Engineer and Jason Wei, AI Resident, Google Research For a machine learning model to generate meaningful text, it must have a large amount of knowledge about the world as well as the ability to abstract. While language models that are trained to do this are increasingly able to automatically acquire this knowledge as...

FedJAX: Federated Learning Simulation with JAX

Posted by Jae Hun Ro, Software Engineer and Ananda Theertha Suresh, Research Scientist, Google Research Federated learning is a machine learning setting where many clients (i.e., mobile devices or whole organizations, depending on the task at hand) collaboratively train a model under the orchestration of a central server, while keeping the training...

Efficient Partitioning of Road Networks

Posted by Ali Kemal Sinop, Senior Research Scientist, Google Research and Mahmuda Ahmed, Senior Software Engineer, Google Maps Design techniques based on classical algorithms have proved useful for recent innovation on several large-scale problems, such as travel itineraries and routing challenges. For example, Dijkstra’s algorithm is often used to...

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