We are happy to announce our workshop in Self-Supervised Learning at the XIII Symposium on Bioengineering, the biggest Portuguese Bioengineering congress! The Symposium on Bioengineering is organized by Bioengineering Students’ […]
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 […]
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 […]
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. […]
Fighting cervical cancer with Artificial Intelligence
In case you missed it. You may find below our talk on the Symposium on Bioengineering 2020 at FEUP. Also, we reply to some answers that we didn’t have time […]
Detecting Errors in Insurance Claims
Introduction and Motivation Insurance codes are used by people’s health plan to make decisions about how much your doctor and other healthcare providers should be paid. There is some variety […]
AI in healthcare: from disease to society
Artificial Intelligence is certainly having an impact on every industry and aspect of our daily lives. One of the hottest topics is the application of AI in healthcare though still […]