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Found 4 papers, 1 papers with code
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI).
Estimation of Time-to-Total Knee Replacement Surgery
A survival analysis model for predicting time-to-total knee replacement (TKR) was developed using features from medical images and clinical measurements.
Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
Given the high compute and memory requirements of modern LLMs, more and more top-of-the-line GPUs are being deployed to serve these models.
POLCA: Power Oversubscription in LLM Cloud Providers
We propose POLCA, our framework for power oversubscription that is robust, reliable, and readily deployable for GPU clusters.
