A metadata processing system compresses main-memory tags and reconstructs full tags to enforce processor security policies with lower metadata memory requirements.
An adaptive metadata architecture enforces processor security policies using variable-length tags and rule caches sized to tag complexity.
The technology measures multiple circulating biomarkers and applies machine learning to diagnose disease, classify stage, and assess therapy response.
A computer-based operator learning system maps input functions to output functions using coupled attention and integral transforms.
The technology identifies brain white matter tracts from diffusion MRI data using atlas-based adaptive clustering without manual region-of-interest drawing.
The technology combines human ultrasound assessment with automatically extracted image features to classify malignancy risk and flag low-confidence cases for further evaluation.
A computer-based training system improves physics-informed neural networks (PINNs) training by weighted residual loss terms to account for physical causality.
Leveraging open-source AI platforms, this technology enables automated image-based detection, prediction, and control of microfluidic single bubble/droplet formation.
Bias-tolerant training method for analog AI hardware that improves learning stability without digital correction.
A way to organize distributed systems for data centers that require fewer resources and increase efficiency and predictability.