March 8, 2022, 2 p.m. | Anthony Alford

InfoQ - AI, ML & Data Engineering www.infoq.com

A team of researchers from University of Aberdeen, MIT, and several other institutions have released a dataset of historical compute demands for machine learning (ML) models. The dataset contains the compute required for training 123 important models, and an analysis shows that since the year 2010 the trend has significantly increased.

By Anthony Alford

ai compute deep learning learning machine machine learning ml & data engineering neural networks news researchers trends university

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (H/F)

@ Business & Decision | Montpellier, France

Machine Learning Researcher

@ VERSES | Brighton, England, United Kingdom - Remote