#13: MLDublin meets ADAPT @ Trinity College Dublin, GMB Debating Chamber

- 1 min

We were delighted to have talks from: Ernesto Diaz-Aviles, Debasis Ganguly, Ahmed Abdelkader.

Ernesto Diaz-Aviles Founder and Chief Scientist, LibreAI Labs
Deep Learning for Recommender Systems

Deep Learning is one of the next big things in Recommender Systems. During the past few years deep neural networks have shown tremendous success in computer vision, speech recognition, and natural language processing (NLP). Deep learning methods are also becoming a powerful tool to tackle Recommender Systems tasks such as music, news, fashion articles, and mobile apps recommendation. In this talk, I will present an exploration of current research in this particular field. The aim is to help identify new opportunities for research and industrial application of Deep Learning to enhance the recommendation experience

Debasis Ganguly Research Staff Member, IBM
A scalable clustering algorithm designed with search technologies

Ahmed Abdelkader Research Engineer, Design & Innovation Lab, ADAPT
Multimodal Deep Learning

Deep Learning has been successfully applied to different problems with single modality. In this talk, Ahmed will talk about what multimodal learning is, what are the challenges associated with it, and some examples of how we can apply multimodal learning.

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