• Home
  • Solutions
    • NEURAVERSE
    • Content Intelligence Platform
    • Content Creation
  • News
    • Media
    • Blog
    • Industry News
  • about us
    • Team
    • Press
    • Contact
  • Academy
  • [Deutsch]
  • Home
  • Solutions
    • NEURAVERSE
    • Content Intelligence Platform
    • Content Creation
  • News
    • Media
    • Blog
    • Industry News
  • about us
    • Team
    • Press
    • Contact
  • Academy
  • [Deutsch]

Learning On The Edge

Uncategorized

Learning on the edge refers to a machine learning approach in which data analysis and model training occur on local devices, such as smartphones, sensors, or IoT devices, rather than being sent to a centralized cloud server. This approach allows for real-time analysis and decision-making, as data can be processed and acted upon immediately, without requiring a connection to the cloud. Learning on the edge can also reduce latency, bandwidth, and security concerns associated with transmitting large amounts of data to the cloud. However, learning on the edge requires efficient algorithms and hardware that can handle data processing and model training on resource-constrained devices.

Share

You also might be interested in

Natural Language Generation (NLG)

Apr 6, 2023

NLG stands for Natural Language Generation, which is a technology[...]

Natural Language Processing (NLP)

Apr 6, 2023

Natural Language Processing (NLP) is a field of artificial intelligence[...]

ALT Tag

Apr 6, 2023

An alt tag, also known as an alt attribute or[...]

Contact Info

  • Rellify, Inc.
  • 295 Bendix Road, Suite 260, Virginia Beach, VA 23452
  • +1 628 228 6230

LEGAL INFORMATION

Privacy Policy

Terms of Service

Stay in Touch


Get a consultation

BOOK A MEETING

FOLLOW US

© 2023 · Rellify, Inc.

Prev Next