AI Technology & Industry Review
A team from Mila, University of Montreal, DeepMind, Waverly and Google Brain proposes Neural Production Systems, which serve to factorize entity-specific and rule-based information in rich visual environments.
A team from Max-Planck Institute for Intelligent Systems, ETH Zurich, Google Research Amsterdam, Mila and the University of Montreal make an effort to bring together causality and machine learning research programs, delineate implications of causality for machine learning and propose critical areas for future research.
Bengio and researchers from Université de Montréal and the École Normale Supérieure in Paris have introduced a new curriculum learning algorithm based on the notion of mastering rate.
The Royal Society announced that Turing Award winner and director of MILA Yoshua Bengio has been elected as one of its new Fellows and Foreign Members.
Researchers propose a flexible GNN benchmarking framework that can also accommodate the needs of researchers to add new datasets and models.
In a bid to raise awareness of the threats posed by climate change, the Mila team recently published a paper that uses GANs to generate images of how climate events may impact our environments — with a particular focus on floods.
The Godfathers of AI and 2018 ACM Turing Award winners Geoffrey Hinton, Yann LeCun, and Yoshua Bengio shared a stage in New York on Sunday night at an event organized by the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).
The AAAI has announced the election of ten AAAI 2020 Fellows — including AI pioneers and 2018 Turing Award Winners Yann LeCun and Yoshua Bengio.
Synced Global AI Weekly November 17th
“We’ve made huge progress, much more than even my friends and I expected a few years ago. But (the progress) is mostly about perception, things like computer vision and speech recognition and synthesis of some things in natural processing. We’re still far from human capabilities.”
In an unprecedented “call for collaboration,” a group of 22 respected AI experts that includes Andrew Ng, Yoshua Bengio, and Demis Hassabis have published a paper exploring how machine learning (ML) could help deal with climate change by reducing greenhouse gases (GHG).
On the occasion of 2019 International Conference on Machine Learning last week in Long Beach, California, Synced spoke with Dr. Bengio on the Turing Award, ICML, global AI trends, etc.
At the G7 Digital Ministers gathering in Paris yesterday Canadian Minister of Innovation, Science and Economic Development Navdeep Bains announced the launch of the Advisory Council on Artificial Intelligence.
Held April 9 – 10, the conference welcomed AI leaders from industry and academia, who shared their AI experiences, insights, and analysis.
The ACM (Association for Computing Machinery) this morning announced Geoffrey Hinton, Yann LeCun and Yoshua Bengio as its 2018 Turing Award winners.
Last November Synced ran an interview with Yoshua Bengio, in which the deep learning maverick, Université de Montréal Professor and MILA Scientific Director discussed his research and commented on the current state of deep learning and AI.
DeepMind’s 2018 AlphaGo Zero requires 300,000 times more computing power than AlexNet did in 2013. With larger-than-ever datasets and demandingContinue Reading
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
Before TensorFlow, PyTorch and Caffe; Theano was the major library for deep learning development. However, the library’s development and support will end after the upcoming Theano 1.0 release.
Compared to SMT, NMT can train multiple features jointly and does not need prior domain knowledge, enabling zero-shot translation. In addition to higher BLEU score and better sentence structure, NMT can also help reduce morphology errors, syntax errors, and word order errors of SMT.
Canada is determined to build AI superclusters in Toronto-Waterloo, Montréal, and Edmonton.
“AI for Good Global Summit,” held June 7-9 in Geneva, Switzerland.
Professor Bengio delivered the “Fundamentals of AI” masterclass to a cross-industry audience at C2 event in Montreal, Canada.
This paper proposes an adaptive learning rate algorithm, which utilizes stochastic curvature information of the loss function for automatically tuning the learning rates.
computer science graduate student named Kaheer Suleman founded a company called Maluuba, using an intelligent program he invented as the product.