Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag, opposedly […]
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 […]
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 […]
Applying geospatial data for Machine Learning, with a focus on social good
In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The first talk was by Paulo Maia, […]
Thermal Imaging in AI
Artificial Intelligence (AI) is one of the current hottest issues, intersecting many fields of interest. With the dissemination of this concept, the expectations about its potential grew a lot among […]