The study focuses on using artificial intelligence to enhance ultrasound diagnostics in frontline maternal care. Publisher topic labels include Health & Bioscience, Machine Perception.
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Artificial intelligence can improve the accuracy and accessibility of ultrasound diagnostics in resource-limited settings.
MemT-1.0 is a new architecture of memory foundation models that internalizes memory as part of model computation. It uses Gated DeltaNet-2 with a stable token-level memory update mechanism and Mixture-of-Storage to scale native memory. MemT-1.0-Nano and MemT-1.0-Flash models outperformed parametric memory baselines and were competitive with retrieval-augmented methods.
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