AI Technology & Industry Review
A Yann LeCun team proposes dictionary learning to provide detailed visualizations of transformer representations and insights into semantic structures such as word-level disambiguation, sentence-level pattern formation, and long-range dependency captured by transformers.
Yann LeCun and a team of researchers propose Barlow Twins, a method that learns self-supervised representations through a joint embedding of distorted images, with an objective function that can make the embedding vectors almost identical while reducing redundancy between their components.
UC Berkeley, Facebook AI Research and New York University researchers’ Multiple Sequence Alignments (MSA) Transformer surpasses current state-of-the-art unsupervised structure learning methods by a wide margin.
This year, NeurIPS is hosting two workshops dedicated to self-supervised learning: Self-Supervised Learning for Speech and Audio Processing on Friday, December 11; and Self-Supervised Learning — Theory and Practice on Saturday, December 12.
Turing Award Winner and Facebook Chief AI Scientist Yann LeCun has announced his exit from Twitter after getting involved in a long and often acrimonious dispute regarding racial biases in AI.
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.
Researchers from New York University and Facebook AI Research recently added 50,000 test samples to the dataset. Facebook Chief AI Scientist Yann LeCun, who co-developed the MNIST, tweeted his approval: “MNIST reborn, restored and expanded.”
The ACM (Association for Computing Machinery) this morning announced Geoffrey Hinton, Yann LeCun and Yoshua Bengio as its 2018 Turing Award winners.
Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).”
Synced is proud to present Gary Marcus as the last installment in our Lunar New Year Project — a series of interviews with AI experts reflecting on AI development in 2018 and looking ahead to 2019. (Read the previous articles on Clarifai CEO Matt Zeiler and Google Brain Researcher Quoc Le.)
The last 12 months saw unprecedented international public discourse around all things AI. As part of our year-end wrap-up, this week Synced looks at what ten notable people had to say about artificial intelligence in 2018:
Facebook AI chief Yann LeCun gave the keynote speech “Learning World Models: the Next Step towards AI” today at the 2018 International Joint Conference on Artificial Intelligence (IJCAI) in Stockholm, Sweden.
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
It took a mere 72 hours for deep learning researchers to ignite the first AI Twitter debate of 2018.
Google’s Ali Rahimi put it bluntly in his NIPS presentation: “Machine learning has become alchemy.” The words triggered Facebook’s Yann LeCun to fight back.
A tweet from Google DeepMind’s Nenad Tomasev, concerning a paper from the prestigious Montreal Institute for Learning Algorithms has sparked a well-known natural language processing expert Yoav Goldberg to tweet back: “…I really dislike this work.”
professor Yann LeCun discussed about “predicting under uncertainty: the next frontier in AI” during the lecture at the University of Edinburgh