Category google-researches

Posted by Alexey Kurakin, Software Engineer and Roxana Geambasu, Visiting Faculty Researcher, Google Research Machine learning (ML) models are becoming increasingly valuable for improved performance across a variety of consumer products, from recommendations to automatic image classification. However, despite aggregating…

Posted by Sungyong Seo, Software Engineer and Sercan O. Arik, Research Scientist, Google Research, Cloud AI Team Deep neural networks (DNNs) provide more accurate results as the size and coverage of their training data increases. While investing in high-quality and…

Posted by Abhijit Guha Roy, Research Software Engineer and Jie Ren, Research Scientist, Google Research Deep machine learning (ML) systems have achieved considerable success in medical image analysis in recent years. One major contributing factor is access to abundant labeled…

Posted by Matt McEwen, Student Researcher, Google Quantum AI and Lara Faoro, Research Fellow, LPTHE- Sorbonne Université and CNRS (Paris) Quantum processors are made of superconducting quantum bits (qubits) that — being quantum objects — are highly susceptible to even…

Posted by Sergio Orts Escolano and Jana Ehman, Software Engineers, Google Research Image matting is the process of extracting a precise alpha matte that separates foreground and background objects in an image. This technique has been traditionally used in the…

Posted by Tom Denton, Software Engineer and Scott Wisdom, Research Scientist, Google Research Birds are all around us, and just by listening, we can learn many things about our environment. Ecologists use birds to understand food systems and forest health…

Posted by Heng-Tze Cheng, Senior Staff Software Engineer and Romal Thoppilan, Senior Software Engineer, Google Research, Brain Team Language models are becoming more capable than ever before and are helpful in a variety of tasks — translating one language into…

Posted by Oran Lang and Inbar Mosseri, Software Engineers, Google Research Neural networks can perform certain tasks remarkably well, but understanding how they reach their decisions — e.g., identifying which signals in an image cause a model to determine it…

Posted by Sneha Kudugunta, Research Software Engineer and Orhan Firat, Research Scientist, Google Research Scaling large language models has resulted in significant quality improvements natural language understanding (T5), generation (GPT-3) and multilingual neural machine translation (M4). One common approach to…

Posted by Carlos Riquelme, Research Scientist and Joan Puigcerver, Software Engineer, Google Research, Brain team Advances in deep learning over the last few decades have been driven by a few key elements. With a small number of simple but flexible…