MLOps | Synced

by Synced 2022-03-24 1

Toward Large-Scale Edge AI Adoption: Hotg.ai & UGent Publish a Comprehensive Review of TinyMLOps Challenges

A research team from Hotg.ai and Ghent University explores current challenges facing TinyML and techniques to reduce the compute, memory, and energy costs of ML models, providing insights for the large-scale deployment of edge AI.

by Synced 2020-06-19 7

AI Cloud & ML Ops Global Research

GitHub Actions Facilitate MLOps on Repositories

GitHub recently introduced a series of free and open-source GitHub Actions that merge data science and machine learning workflows with a software development workflow.