Mission

We develop knowledge-based technologies that allow humans and computers to deal better with the artificial world that surrounds us.

News

  • LIA spinoff NexThink passes 1B USD valuation

NexThink, founded as a spinoff in 2004 as a result of a research project at the EPFL AI Laboratory, has closed a new funding round that values it at USD 1.1 billion:

https://actu.epfl.ch/news/epfl-spin-off-nexthink-becomes-the-new-swiss-unico/

 

  • EPFL research on recommendation system wins the best paper award.

At the 14th ACM Conference on Recommendation Systems (RecSys) held September 22-26, the paper

ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

authored by Fei Mi, Xiaoyu Lin and Boi Faltings, won the best short paper award.

 

  • EPFL research on fairness wins the best paper award.

At the 12th ACM Web Science Conference held July 6-10, the paper

Tackling Peer-to-Peer Discrimination in the Sharing Economy

authored by Naman Goel, Maxime Rutagarama and Boi Faltings, won the best paper award.

The paper presents a novel approach using the Peer Truth Serum, a game theoretic incentive mechanism developed at LIA, to ensure fair treatment on sharing economy platforms like Airbnb, Uber, Taskrabbit etc. One of the most interesting observation is that to obtain fairness, it is important to use the sensitive attributes in the incentive mechanism rather than to ignore it.

Recent Results

Aleksei Triastcyn has developed a new privacy definition for machine learning, called Bayesian Differential Privacy. It provides more meaningful bounds for privacy-preservation in machine learning than the general definition of Differential Privacy. The concept was highlighted in a recent paper at the 37th International Conference on Machine Learning (ICML 2020) and generated a lot of interest.