Shock to the system: Using electricity to find materials that can ‘learn’
Researchers used electrical pulses to watch nickel oxide undergo two responses, habituation and sensitization, bolstering the case for brain-inspired computing. Read More
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Mixture-of-Experts with Expert Choice Routing
Posted by Yanqi Zhou, Research Scientist, Google Research Brain Team The capacity of a neural network to absorb information is limited by the number of its parameters, and as a consequence, finding more effective ways to increase model parameters has…
Best practices for data enrichment
At DeepMind, our goal is to make sure everything we do meets the highest standards of safety and ethics, in line with our Operating Principles. One of the most important places this starts with is how we collect our data.…
A low-cost robot ready for any obstacle
Researchers have designed a robotic system that enables a low-cost and relatively small legged robot to climb and descend stairs nearly its height; traverse rocky, slippery, uneven, steep and varied terrain; walk across gaps; scale rocks and curbs; and even…
Next generation material that adapts to its history
Inspired by living systems, researchers have developed a new material that changes its electrical behavior based on previous experience, effectively giving it a basic form of adaptive memory. Such adaptive materials could play a vital role in the next generation…
Robots That Write Their Own Code
Posted by Jacky Liang, Research Intern, and Andy Zeng, Research Scientist, Robotics at Google <!—-><!—-> A common approach used to control robots is to program them with code to detect objects, sequencing commands to move actuators, and feedback loops to…
Beyond Tabula Rasa: Reincarnating Reinforcement Learning
Posted by Rishabh Agarwal, Senior Research Scientist, and Max Schwarzer, Student Researcher, Google Research, Brain Team Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve…
Infinite Nature: Generating 3D Flythroughs from Still Photos
Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly…
ReAct: Synergizing Reasoning and Acting in Language Models
Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team <!—-> Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via…
Multi-layered Mapping of Brain Tissue via Segmentation Guided Contrastive Learning
Posted by Peter H. Li, Research Scientist, and Sven Dorkenwald, Student Researcher, Connectomics at Google Mapping the wiring and firing activity of the human brain is fundamental to deciphering how we think — how we sense the world, learn, decide,…