The CDO TIMES

MIT researchers advance automated interpretability in AI models

MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.

AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Machine learning unlocks secrets to advanced alloys

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.

AI method radically speeds predictions of materials’ thermal properties

The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.

Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building

Members of the MIT community, supporters, and guests commemorate the opening of the new college headquarters.

Reasoning skills of large language models are often overestimated

New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.

When to trust an AI model

More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

MIT researchers introduce generative AI for databases

This new tool offers an easier way for people to analyze complex tabular data.

Helping nonexperts build advanced generative AI models

MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.

Electrical Engineering&Computer Science (eecs)

MIT researchers advance automated interpretability in AI models

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AI model identifies certain breast tumor stages likely to progress to invasive cancer

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Machine learning unlocks secrets to advanced alloys

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Creating and verifying stable AI-controlled systems in a rigorous and flexible way

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AI method radically speeds predictions of materials’ thermal properties

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Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building

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Reasoning skills of large language models are often overestimated

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When to trust an AI model

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MIT researchers introduce generative AI for databases

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Helping nonexperts build advanced generative AI models

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