Active matter, curved spaces: Mini robots learn to ‘swim’ on stretchy surfaces
Fluidic circuits add analog options for controlling soft robots
Engineers discover new process for synthetic material growth, enabling soft robots that grow like plants
Quantization for Fast and Environmentally Sustainable Reinforcement Learning
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Posted by Srivatsan Krishnan, Student Researcher, and Aleksandra Faust, Senior Staff Research Scientist, Google Research, Brain Team Deep reinforcement learning (RL) continues to make great strides in solving real-world sequential decision-making problems such as balloon navigation, nuclear physics, robotics, and…
Supporting the next generation of AI leaders
AI-based screening method could boost speed of new drug discovery
TensorStore for High-Performance, Scalable Array Storage
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Posted by Jeremy Maitin-Shepard and Laramie Leavitt, Software Engineers, Connectomics at Google Many exciting contemporary applications of computer science and machine learning (ML) manipulate multidimensional datasets that span a single large coordinate system, for example, weather modeling from atmospheric measurements…
Building safer dialogue agents
View Synthesis with Transformers
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