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Allen School News » In new Nature paper, Allen School researchers 'slide' into the future of cancer diagnosis with groundbreaking AI model for digital pathology

Digital pathology promises to revolutionize medicine by transforming tissue samples into high-resolution images that can be shared and analyzed using powerful new computational tools to assist with clinical decision-making and personalize patient care. But there are challenges to be overcome to achieve this bold new vision for medicine. In a…

Hoifung-poon
Hanwen-xu
Zelalem-gero
Yu-gu
Jaspreet-bagga
Roshanthi-weerasinghe
Brian-piening
Tucker-bower
Cliff-wong
Shuming-ma
Soohee-lee
Sheng-zhang

From a Lossless (~1.5:1) Compression Algorithm for Llama2 7B Weights to Variable Precision, Variable Range, Compressed Numeric Data Types for CNNs and LLMs

This paper attempts to address and reconcile two different issues: the existence of multiple numerical data formats (such as int8, bfloat16, fp8, etc., often non optimal for the application and not directly compatible with one another) and the necessity to reduce their bandwidth requirements, especially in the case of power hungry and slow DRAM.

Tim-dettmers
Ruslan-svirschevski
Tim-dettimers
Jarek-duka
Furu-wei
Alexander-borzunov
Shuming-ma
John-gustafson
Vincenzo-liguori
Zhongyu-wang
Artix-ultrascale
Kintex-ultrascale

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