Posted by Natasha Jaques, Google Research and Michael Dennis, UC Berkeley The effectiveness of any machine learning method is critically dependent on its training data. Read More
Posted by Alejandro Luebs, Software Engineer and Jamieson Brettle, Product Manager, Chrome Connecting to others online via voice and video calls is something that is Read More
Posted by Per Karlsson and Lucy Yu, Software Engineers, Google Research Looking at photos from the past can help people relive some of their most Read More
Posted by Hanna Mazzawi, Research Engineer and Xavi Gonzalvo, Research Scientist, Google Research The success of a neural network (NN) often depends on how well Read More
Posted by Danijar Hafner, Student Researcher, Google Research Deep reinforcement learning (RL) enables artificial agents to improve their decisions over time. Traditional model-free approaches learn Read More
Posted by Andy Zeng and Pete Florence, Research Scientists, Robotics at Google Rearranging objects (such as organizing books on a bookshelf, moving utensils on a Read More
Posted by Alireza Fathi, Research Scientist and Rui Huang, AI Resident, Google Research The growing ubiquity of 3D sensors (e.g., Lidar, depth sensing cameras and Read More
Posted by Lora Aroyo and Praveen Paritosh, Research Scientists, Google Research The performance of machine learning (ML) models depends both on the learning algorithms, as Read More
Posted by Frederick Liu and Garima Pruthi, Software Engineers, Google Research The quality of a machine learning (ML) model’s training data can have a significant Read More
Posted by Amir Yazdanbakhsh, Research Scientist, Google Research One of the key contributors to recent machine learning (ML) advancements is the development of custom accelerators, Read More