Achieving diverse product recommendations ensuring all users and objects get exposure In this blog post, you’ll learn about some examples of decision processes you can use in recommender systems: do […]
Teaching Models With Free Data
“The more I see, the less I know” might be a saying, but it does not apply to AI models. It’s well known that the performance of an artificial neural […]
WDL – Solving Social Problems Using Data Science
This blogpost describes the key points of my participation at the 2021 Edition of World Data League. The Tech Moguls Team, composed of me, Tiago Gonçalves, Tomé Albuquerque and Joana […]
Food and Beverages: Reducing waste using AI
During recent years Artificial Intelligence has been applied to almost all domains and industries in order to improve or solve specific problems identified by humans. One example is the […]
You Have the Right to Remain Silent
Machine Learning and Artificial Intelligence algorithms are currently applied in almost every industry, integrating numerous Value Chains that depend on their decisions. However, despite the continuous advances in the state-of-the-art, […]
ML System Design: Federated Learning
NILG.AI, together with Neu.ro decided to try a format similar to a Reading Club, where the topic is not a specific paper but an entire research area. After a short […]
Keyboard Layout Optimization for ALS Patients
In case you missed it, you may find below our webinar in collaboration with DSSG. Abstract: For most of us, typing is the easiest part of transmitting a written message: […]
Embedding Domain Knowledge
In the good old days, working as a Machine Learning Engineer meant working 95% of the time on feature engineering and 5% on training models with the extracted features. This […]
Reducing Unemployment using AI
With COVID-19, many were affected by the economic crisis and lost their jobs. In Portugal alone, between February and September, there was a 30% increase in unemployment! AI can be […]
Explainable AI in Healthcare
Transparency is of utmost importance when AI is applied to high stake decision problems where additional information on the underlying process beyond the output of the model may be required. […]