7 Great things about #khipu.ai2019
This post reflects my personal opinion
During November (11th -14th) khipu.ai conference was held in Montevideo, Uruguay. It was the first conference in #latam related to AI. The idea was to recreate the Deep Learning Indaba meetings hosted in Africa. All material can be found at the following link: https://khipu.ai/program/
1. LATAM talent & networking
I think a wonderful thing about Khipu was all the people from LATAM working with related topics of ML/Deep Learning. The poster session helped me to know about it and talk with them. I got very impressed of the talent we have in this part of the world. Research related to bioinformatics, genomics, meteorological events, fake news, natural language processing, computer vision related to bioimage analysis. It was definitely a great experience and an amazing kickstart for AI in #latam.
2. It’s all about #community
After the event, I was able to have a talk in a city near my home. I was sharing the Khipu experience I get from being part in the event. I also talked about some important deep learning architectures.
3. Great Technical Talks
Something great about the event was undoubtely the speakers that attended the conference. Some inspiring talks were
- Machine Learning Fundamentals by Luciana Ferrer
- Deep Learning Fundamentals by René Vidal
- Reinforcement Learning by Nando de Freitas
- Generative Models by Ian Goodfellow
- Causality and Generalization by David López-Paz
- Robotics and Continuous Control by Chelsea Finn
- Perspectives on AI by Yoshua Bengio
- Recent advances in Deep Reinforcement Learning by Oriol Vinyals
4. Inspiring Talks
Another talks related more to applied deep learning were:
- ML Challenges and Opportunities of Computational Behavioral Phenotyping in Developmental Health
- Machine Learning and Climate Change by Claire Monteleoni
- Machine Learning and Healthcare by Danielle Belgrave
- Spotlights by Luciana Benotti
5. Khipu insights
I think there were great technical talks from basics to advanced topics in the event. I expect to write in this blog my personal reviews related to these talks soon:
- [Nando de Freitas] Reinforcement Learning
- [David López-Paz] Causality and Generalization
- [Luciana Ferrer] Machine Learning Fundamentals
- [René Vidal] Deep Learning Fundamentals
6. Tutorials
The tutorials were Python notebooks to get hands-on experience related to the following topics:
- Convolutional Neural Networks
- Optimization in Deep Learning
- Recurrent Neural Networks
- Transformer
- Generative Models
- Reinforcement Learning
All the material is here: https://github.com/data-datum/practicals-2019
7. And finally, good friends.
