Resources  >  Research  >  Article


Advancing Machine Learning


Research scientists and engineers at AIS developed an entirely new framework for biometric verification that out-performs modern state-of-the-art methods.

The group was inspired by Deep Vectors (D-Vectors), an approach used for speaker verification. AIS scientists generalized this approach to perform verification using any biometric data source. The result was a framework that performs with higher accuracies and requires less data.

The group’s paper, “Beyond Speech: Generalizing D-Vectors for Biometric Verification” was one of only 1,147 papers selected from more than 7,700 submissions for the 33rd Annual AAAI Conference.

Key Insights:

  • This framework requires significantly less data than traditional approaches and performs with higher accuracies enabling practical applications
  • Multimodal: Generalizable framework that can extract discriminative patterns from multiple sensors and datatypes. Ideal for continuous authentication applications
  • Robust and practical keystroke verification: Authenticate users with just a tweet

Ready to Get Started?

Reach out to talk to one of our experts and learn more about our research initiatives.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google
Consent to display content from - Spotify
Sound Cloud
Consent to display content from - Sound