October 28–31, 2019
Wisdom d'Almeida

Wisdom d'Almeida
Visiting Researcher, Mila

Website

Wisdom d’Almeida is a Visiting Researcher at Mila, working with Yoshua Bengio and Alain Tapp on fundamental machine learning questions related to consciousness. His other research interests include grounded language learning and AI explainability. In the past, Wisdom worked on natural language understanding for common-sense reasoning, with application to areas such as healthcare—his master’s dissertation was about medical report generation with natural language explanations. Wisdom’s works in AI won a Government of India National Award in 2018. Previously, he interned at Google in San Francisco and demoed at Google Cloud Next 2018. Wisdom holds a master’s degree from KIIT in India and a BS from Université de Lomé in Togo, where he grew up. In his spare time, you can see him struggling with his vocal cords and his guitar strings.

Sessions

4:10pm4:50pm Wednesday, October 30, 2019
Location: Grand Ballroom A/B
Wisdom d'Almeida walks you through how to design an encoder-decoder model that takes a chest X-ray image as input and generates a radiology report with visual and textual explanations for interpretability. The model was designed with TensorFlow, trained on cloud TPUs, and deployed in the browser with TensorFlow.js. Wisdom provides a live demo of the model in action. Read more.

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