It was by presenting its three main research findings that Meta celebrated, on September 21, the young and promising anniversary of Facebook Artificial Intelligence Research (FAIR), its organization that brings together several research laboratories on artificial intelligence (AI). How does the Montreal laboratory contribute to FAIR’s success and which projects mobilize its researchers?
Creators and medical technologies benefit from the findings of the FAIR Montreal laboratory. With an experienced team led by Joelle Pineau, Meta believes in the effervescence of Quebec’s innovative ecosystem.
Joelle Pineau, director of the Meta research laboratory
A renowned researcher at the head of FAIR
Health, art and metaverse are at the center of the projects carried out by the team led by Gioelle Pineau, renowned researcher and associate professor at theMcGill University School of Computer Science. Born in 1974 and mother of 4 children, she carries out research on the development of new models and algorithms that allow computers to learn how to make good decisions.
“Joëlle Pineau is a pioneer of robotics applied to the field of health and many other applications of data science in medicine. “
– The Royal Society of Canada
“Joëlle Pineau is a pioneer of robotics applied to the field of health and many other applications of data science in medicine”, indicates the Royal Society of Canada. In Meta, he advocates an open scientific approach (Open Source) in order to share the findings with the AI ecosystem and make all progress accessible. His team worked on some of the biggest breakthroughs in AI that have benefited the scientific communities in Canada and abroad. The team is working, in particular, on the development of the metaversewhich is increasingly being referred to as an opportunity for Canada’s ecosystem and innovation economy.
A laboratory well rooted in the Canadian ecosystem
The FAIR Montreal laboratory has established solid partnerships in the Canadian ecosystem. We find you:
- The Canadian Institute for Advanced Research (EXECUTION)
- The Montreal Institute for Learning Algorithms (THOUSANDS) (Montreal Institute for Learning Algorithms)
- McGill University
- The University of Montreal
- The CIFAR
Meta supports the learning and development of Canadian AI talent and helps build world-class computing capabilities for MILA and advance the Montreal research community.
Make the metaverse more accessible
Augmented reality glasses
According to the FAIR team, the metaverse will be the next iteration of the internet and will have a significant impact on education, healthcare and the economy. That’s why the Canadian AI ecosystem is committed to playing a leadership role in innovating these upcoming realities.
Augmented reality (AR) glasses are among the advanced technologies used in the Metaverse. The artificial vision systems developed by the laboratory allow to improve these technologies.
“Imagine wearing AR glasses that show you how to make a recipe. They will have to work well in the kitchens of Montreal, but also in other parts of the world ”.
– The FIERA laboratory
For this reason the laboratory is working on the recognition of everyday objects such as pots or spices. The research has also brought new advances in self-monitoring. The models created are then more powerful, more robust and fairer because they train on images from all over the world.
Accelerate patient care
The main problem of theMagnetic resonance (IRM) is the slowness of its process. This medical imaging technique is often the best tool for diagnosing problems with organs, muscles, and other soft tissues in the human body.
To accelerate the technology, the FAIR research team developed the AI model fast magnetic resonance. To do this, he joined forces with doctors and medical imaging experts from the Langone Health, of New York University. The new model creates complete MRI images using less raw data. This is what speeds up the analysis process.
Offer tools for the creators of the metaverse
Many creators are busy building new experiences for the metaverse today. The FAIR laboratory then designed image generation models in order to create new visual compositions for these creators. The Montreal research team built the model IC-GAN which builds high-resolution images of environments that don’t exist in the real world. For example, the model can generate combinations of images such as camels surrounded by snow.
It is a simple image generation model that uses the instance-conditioned generative contradictory network as a process. In artificial intelligence, these networks (generative contradictory networks or GAN) are a class ofunsupervised learning algorithms. They allow you to generate images with a high degree of realism while offering greater flexibility, accuracy and efficiency.
Therefore, both creators and medical technologies benefit from the findings of the FAIR Montreal laboratory. With an experienced team led by Joelle Pineau, Meta believes in the effervescence of Quebec’s innovative ecosystem. We follow their scientific findings closely. However, we can point out the confusion that the acronym FAIR of Facebook artificial intelligence research, become Fundamental research on artificial intelligence, gate. It suggests an approach Fairness / fairness in artificial intelligence, with the aim of respecting justice and fairness. An approach that the laboratory undoubtedly supports, but which does not constitute its main mission, which is research in AI.
On the topic of the metaverse:
Featured Image Credit: Meta. The first four researchers of the FAIR Montreal laboratory in 2017 (left to right): Pascal Vincent, Mike Rabbat, Joelle Pineau and Nicolas Ballas.
