New internships in AI: Privacy-preserving ML and Similarity Learning

We are proud to share that NILG.AI has partnered with the Faculty of Engineering of the University of Porto (FEUP) through internships in AI as part of curricular units! We have received two new interns, Margarida Vieira and Beatriz Lopes; both enrolled in the Bachelor in Informatics and Computing, tackling two very distinct challenges with us until the summer. We are also happy to count on the help of Professor Luís Teixeira and Carlos Soares from FEUP, co-supervisors of the internship for Margarida and Beatriz, respectively. 

Margarida has been working on a hot topic in AI: privacy-preserving Machine Learning. Our goal is to create accurate models for our clients, having access to a pseudo-anonymized version of the original information. To do so, Margarida is exploring topics such as K-Anonymity, Differential Privacy, and Homomorphic Encryption. 

On the other hand, Beatriz is exploring self-learning techniques for semantic information retrieval, a follow-up project on a previous internship. Information Retrieval is a topic with multiple applications in marketplaces, such as searching for similar products and duplicate detection.

We are constantly exploring new Artificial Intelligence and Data Science ideas to better serve our clients, helping us stay on top of the state-of-the-art. If you or your students want to do internships in AI with us, contact us.

Stay tuned to hear more about these topics!

Like this story?

Subscribe to Our Newsletter

Special offers, latest news and quality content in your inbox once per month.

Signup single post

Consent(Required)
This field is for validation purposes and should be left unchanged.

Recommended Articles

Article
Turning classes into inputs

Let’s face it, we all have worked on an ML project where we had to predict a ridiculously high number of classes. Large enough to make the number of observations per class into an embarrassingly small subset. Most people model these tasks as a multiclass classification problem where, for each input observation, we must predict […]

Read More
Article
NILG.AI in the AI community

Connecting and being connected greatly impact how we positively interact with others. At NILG.AI, we are not only focused on helping businesses unlock their capabilities, but we also make our mission sharing with the world how to leverage the power of Artificial Intelligence (AI). This knowledge-centered culture is one of our greatest pride and a […]

Read More
Article
A new era has arrived for NILG.AI

Happy birthday! Today is NILG.AI’s fourth anniversary. Happy birthday to us! For most humans, birthdays are a synonym for getting older and leaving the good days of the youth behind. For companies, they are a moment to reflect on everything we achieved, recognize how far we have come, and envision how far we will go. […]

Read More