• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

MIT’s new privacy technique safeguards sensitive data used in training AI models without affecting the model performance and accuracy of the algorithm

April 14, 2025 //  by Finnovate

This content is for members only. Sign up for access to the latest trends and innovations in fintech. View subscription plans.

Login

Category: Members, Essential GuidanceTag: Members

Previous Post: « Replicating e-commerce’s personalized cross-sell offers tailored to customer life events, spending patters and past purchases can help banks unlock new revenue streams
Next Post: Microsoft study reveals AI models are struggling to debug many issues in software development due to data scarcity in “sequential decision-making processes” »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.OkayPrivacy policy