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MIT researchers developed an entailment model, which is a smaller language model that outperformed much larger counterparts. In this image, two figures represent these models: the red one on the left represents larger models, while the grey one on the right represents the entailment model.

MIT researchers make language models scalable self-learners

A brain-like tree, symbolizing how MIT researchers characterized gene expression patterns for 22,500 brain vascular cells across 428 donors and six brain regions. Their study reveals key insights for Alzheimer's disease onset and potential treatments.

Unweaving the microscopic threads of Alzheimer’s tapestry: single-cell dissection of vascular changes across six brain regions

Researchers created "FluidLab," a simulation environment with a diverse set of manipulation tasks involving complex fluid dynamics (Alex Shipps/MIT CSAIL via Midjourney).

Helping robots handle fluids

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MIT researchers make language models scalable self-learners

Unweaving the microscopic threads of Alzheimer’s tapestry: single-cell dissection of vascular changes across six brain regions

Helping robots handle fluids