all AI news
Don’t let data drift derail edge compute machine learning models
April 19, 2022, 4 p.m. | Alyssa Hughes
Microsoft Research www.microsoft.com
Edge computing has come of age, with deployments enabling many applications that process data from IoT sensors and cameras. In 2017, we identified the symbiotic relationship between edge computing and video analytics in an article, noting that live video analytics is the “killer app” for edge computing. Edge devices come in various shapes and sizes […]
The post Don’t let data drift derail edge compute machine learning models appeared first on Microsoft Research.
compute data edge edge compute learning machine machine learning machine learning models research blog
More from www.microsoft.com / Microsoft Research
SAMMO: A general-purpose framework for prompt optimization
5 days, 8 hours ago |
www.microsoft.com
Research Focus: Week of April 15, 2024
6 days, 8 hours ago |
www.microsoft.com
Ideas: Language technologies for everyone with Kalika Bali
1 week, 5 days ago |
www.microsoft.com
Research Focus: Week of April 1, 2024
2 weeks, 6 days ago |
www.microsoft.com
Learning from interaction with Microsoft Copilot (web)
3 weeks, 6 days ago |
www.microsoft.com
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Computer Vision Engineer
@ Motive | Pakistan - Remote
Data Analyst III
@ Fanatics | New York City, United States
Senior Data Scientist - Experian Health (This role is remote, from anywhere in the U.S.)
@ Experian | ., ., United States
Senior Data Engineer
@ Springer Nature Group | Pune, IN