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  1. MIT-led team receives funding to develop next-generation alternatives to modern weed killers

    With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.

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  2. A single AI model simulates the behavior of many substances, from sliding sand to folding proteins

    By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.

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  3. AI-assisted learning platform helps robots reason beyond literal commands

    The new approach, known as FLEX, could lead to more intuitive, interactive household and assistive robots.

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  4. How to predict the behavior of molecules from scant data

    A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.

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  5. Clearing up a robot’s fuzzy memory

    A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.

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