Detailed images from space offer clearer picture of drought effects on plants | MIT News
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“MIT is a place where dreams come true,” says César Terrer, an assistant professor in the Department of Civil and Environmental Engineering….
A Generalist Agent
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Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of…
Learning to grow machine-learning models | MIT News
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It’s no secret that OpenAI’s ChatGPT has some incredible capabilities — for instance, the chatbot can write poetry that resembles Shakespearean sonnets…
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
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In our recent paper, we explore how populations of deep reinforcement learning (deep RL) agents can learn microeconomic behaviours, such as production,…
Bacterial injection system delivers proteins in mice and human cells | MIT News
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Researchers at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have harnessed a natural…
Stanford and Cornell Researchers Introduce Tart: An Innovative Plug-and-Play Transformer Module Enhancing AI Reasoning Capabilities in a Task-Agnostic Manner
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Without changing the model parameters, large language models have in-context learning skills that allow them to complete a job given only a…
From LEGO competitions to DeepMind's robotics lab
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Today’s post is all about Akhil Raju, a software engineer on the robotics team. We originally met Akhil in season two of…
A method for designing neural networks optimally suited for certain tasks | MIT News
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Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if…
Open-sourcing MuJoCo
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In October 2021, we announced that we acquired the MuJoCo physics simulator, and made it freely available for everyone to support research…
Speeding up drug discovery with diffusion generative models | MIT News
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With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to…