no code implementations • 5 May 2024 • Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI).
no code implementations • 29 Apr 2024 • Ozkan Cigdem, Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
A survival analysis model for predicting time-to-total knee replacement (TKR) was developed using features from medical images and clinical measurements.
no code implementations • 29 Mar 2024 • Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Inigo Goiri, Josep Torrellas
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.
1 code implementation • 24 Aug 2023 • Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini
We propose POLCA, our framework for power oversubscription that is robust, reliable, and readily deployable for GPU clusters.