SaiSatish

Posted by Johan Ferret, Student Researcher, Google Research, Brain Team An approach commonly used to train agents for a range of applications from robotics to chip design is reinforcement learning (RL). While RL excels at discovering how to solve tasks…

Posted by Ted Baltz, Senior Staff Software Engineer, Google Research For more than 70 years, plasma physicists have dreamed of controlled “breakeven” fusion, where a system is capable of releasing more energy in a fusion reaction than it takes to…

Posted by Suyog Gupta and Marie White, Software Engineers, Google Research This fall Pixel 6 phones launched with Google Tensor, Google’s first mobile system-on-chip (SoC), bringing together various processing components (such as central/graphic/tensor processing units, image processors, etc.) onto a…

Posted by Michael Dixon, Software Engineer and Reena Singhal Lee, Product Manager, Google Health Earlier this year, we launched Contactless Sleep Sensing in Nest Hub, an opt-in feature that can help users better understand their sleep patterns and nighttime wellness.…

Posted by Xiaofang Wang, Intern and Yair Alon (prev. Movshovitz-Attias), Software Engineer, Google Research When building a deep model for a new machine learning application, researchers often begin with existing network architectures, such as ResNets or EfficientNets. If the initial…

Posted by Dave Epstein, Student Researcher and Chen Sun, Staff Research Scientist, Google Research Machine learning (ML) agents are increasingly deployed in the real world to make decisions and assist people in their daily lives. Making reasonable predictions about the…

Posted by Artem Dementyev, Hardware Engineer, Google Research Most wearable smart devices and mobile phones have the means to communicate with the user through tactile feedback, enabling applications from simple notifications to sensory substitution for accessibility. Typically, they accomplish this…