Eviden's HLTP Challenge Solutions For Defense

Eviden, the Atos Group product brand pioneering in advanced computing, cybersecurity products, mission-critical systems and vision AI, announces that it has been selected by the European Commission to provide the technical platform to host and integrate the applications developed by the nine selected organizations constituting the AtLaS consortium for the HLTP Challenge.

This project, one of the four selected projects, is launched and financed by the European Defense Fund. Eviden will also supply BARTENDER, its own innovative software, which enables natural language processing in hundreds of languages.

Defense communication and intelligence gathering

AtLaS' objectives include developing resilient systems for noise and multiple language handling

The AtLaS project focuses on advancing Human Language Technology (HLT) in defense, by combining artificial intelligence (AI) and Natural Language Processing (NLP) to handle low-quality and multilingual data.

AtLaS' objectives include developing resilient systems for noise and multiple language handling, leveraging advanced training and technologies like denoising. 

During the challenge, the participating consortium members will have the opportunity to improve defense communication and intelligence gathering, as well as create adaptable systems for a European library of language technologies.

HLTP challenge

Bernard Payer, Global Head of Mission-Critical Systems, Eviden, Atos Group, said: "We are proud to have been selected by the European Commission on the HLTP challenge and to leverage our expertise in Systems Integration and Human Language Processing within a consortium of industrial companies."

He adds, "This is all the more important as HLTP is an essential tool for identifying threats and gathering information that can be exploited for defense purposes."

Evaluate the ALP solutions

AtLaS aims to evaluate the automatic language processing (ALP) solutions provided by various European partners in the defense sector.

It addresses the specific constraints of these solutions' operational frameworks, such as processing different dialects and languages in degraded and varied contexts, including noisy environments, theaters of operation, and communications.