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Does this artificial intelligence think like a human?

MIT researchers developed a method that helps a user to better understand a machine-learning model’s reasoning, and how that reasoning compares to that of a human. The technique enables a user to rapidly identify and analyze patterns in a model’s behavior. ....

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Generating new molecules with graph grammar

MIT and IBM researchers develop an efficient machine learning method that uses chemical knowledge to create a learnable grammar with production rules to build new, synthesizable monomers and polymers. ....

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Using artificial intelligence to find anomalies hiding in massive datasets

Researchers at the MIT-IBM Watson AI lab have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train. ....

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Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices

An MIT team evaluated memory bottleneck to deploying machine learning on small "internet of things" devices and created a new method and device that outperforms other tinyML methods on image detection and classification tasks. ....

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EECS graduate women's research summit increases research visibility and strengthens community | MIT News

MIT's Graduate Women in Course 6 (GW6) held their third annual research summit, featuring the latest research of women and other underrepresented genders in MIT EECS, along with an opportunity to network, share experiences, and learn. ....

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