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, […]
Speeding up Science: AI tools for Pharma
In NILG.AI, our motto is “Unlocking business capabilities using Data Intelligence”, since we see Artificial Intelligence as a powerful tool designed to maximize the potential of human activity. A lot […]
Crop monitoring & AI: The future of agriculture
Agriculture’s role and its importance is not strange to any of us. Besides feeding us all, it allowed the first settlements and the transition from a nomad lifestyle to a […]
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: […]
An AI-Based Image Content Retrieval System
Similarity measurement is the basis for any information retrieval, management, or data mining system. Both in industry and in the scientific community, similarity detection has been shown to be […]
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 […]
An Overview of Churn Prediction
Churn prediction – tandem with engagement – is probably the most wanted use case we get from Marketing departments across industries. For those of you that do not know what […]
AI at COVID19: What we are overlooking
Every aspect of our daily routines was hit by COVID this year, from our work and industries to social interactions. Nine months have passed since we started lockdowns, and the […]
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. […]