‘SketchTransfer’ Draws Understanding From Detail Invariance
A team of researchers from Mila and Google Brain believe simple pencil sketches could help AI models generalize to a better understanding of unseen images.
AI Technology & Industry Review
A team of researchers from Mila and Google Brain believe simple pencil sketches could help AI models generalize to a better understanding of unseen images.
To welcome 2020 with some fresh AI perspectives, Synced spoke with global researchers from Google Brain, Sony AI, Alibaba affiliate Ant Financial (formerly known as Alipay) and other organizations.
Although “Sudoku“ grid-based number puzzles are no match for today’s artificial intelligence systems, a novel approach to the challenge is trending on GitHub due to its practical integration of computer vision technologies.
As 2019 comes to an end, Synced takes a look back at the year’s bumper crop of AI-powered products, spotlighting 10 new apps that we believe present brilliant ideas, innovative design and unique functionalities.
In a recent paper Tencent AI Lab researchers present a deep reinforcement learning (DRL) approach to handle the complex action control of agents in MOBA 1v1 games.
In the conclusion to our year-end series, Synced spotlights ten datasets that were open-sourced in 2019.
Facebook AI Research team has introduced a new “point-based rendering” neural network module with an iterative subdivision algorithm that can integrate SOTA image segmentation models.
The AAAI has announced the election of ten AAAI 2020 Fellows — including AI pioneers and 2018 Turing Award Winners Yann LeCun and Yoshua Bengio.
Carnegie Mellon University computer science major Lingdong Huang has developed ‘Wenyan-Lang,’ a programming language based on Chinese hanzi characters and the wenyan classical Chinese grammar system.
The ICLR 2020 conference programme chairs finally put the selection process behind them, announcing 687 out of 2594 papers had made it to ICLR 2020 — a 26.5 percent acceptance rate.
At the NeurIPS 2019 conference CIFAR introduced its new AI Chairs and a new grant program, and hosted the panel discussion Foundations in Machine Learning, where researchers from Mila, Amii and the Vector brainstormed on their work, looked at machine learning trends and offered advice to students.
The model reduces the number of parameters from some 3 billion to 270 million while improving task performance by an average of 2.05 points.
Synced 10 AI Failures of 2019
Researchers from Beijing University of Posts and Telecommunication have introduced a novel visual dialogue state tracking (VDST) model that’s got pretty good at the similar, visual dialogue guessing game “GuessWhat?!”
A new paper from original PyTorch developers explores the inspiration behind the library, and makes the case for its unique marriage of speed and usability.
Synced Global AI Weekly December 15th
At NeurIPS 2019 this week Facebook unveiled its Deepfake Detection Challenge (DFDC), along with a new deepfake-specific dataset containing more than 100,000 videos.
The world’s most prestigious machine learning conference wraps up in Vancouver this weekend. Synced takes a look at the numbers associated with NeurIPS 2019.
Due to the nuanced character choices and other unique literal and aesthetical characteristics, automatic generation of Chinese poetry is challenging for AI, and high-quality poems can hardly be generated by end-to-end methods.
Pryzant and other Stanford researchers partnered with researchers from Kyoto University and Georgia Institute of Technology to develop a novel natural language model that can identify and neutralize biased framings, presuppositions, attitudes, etc. in text.
Preferred Networks is migrating its deep learning research platform from its own open source framework Chainer to PyTorch.
In a blog post, the NeurIPS organizing committee announced the conference’s outstanding paper awards and other awards.
Synced Global AI Weekly December 8th
The City of Vancouver is expecting a traffic spike next week with finals approaching and thousands of attendees pouring into the Convention Center from December 8 to 14 for top-tier AI conference NeurIPS 2019.
Face recognition will continue to play a big role as short video platforms develop functions to appeal to new target groups and provide more innovative, personalized and engaging content to users.
On Fridays, Synced selects seven studies from the last seven days that present topical, innovative or otherwise interesting or important research that we believe may be of special interest to our readers.
This research demonstrated that deep learning can contribute to the traditional discipline with much better performance than existing methods.
Researchers from Facebook AI and the University of Maryland have introduced a 21st century version — sweatshirts printed with adversarial examples that make the wearer undetectable to the AI-powered object detectors in today’s public surveillance systems.
Researchers from The Chinese University of Hong Kong, Tencent AI Lab and University of Macau have proposed a new neuron interaction based representation composition for NMT.
Synced Global AI Weekly December 1st
Synced selects seven studies from the last seven days that present topical, innovative or otherwise interesting or important research that we believe may be of special interest to our readers.
Tencent Graph Computing (TGraph) officially announced the release of Plato, an open source high-performance graph computing framework that meets the ultra-large-scale graph computing requirement of billion-level nodes.
Rather than attempting to defend convolutional networks against them, the researchers introduce a novel enhanced adversarial training scheme, AdvProp, which treats adversarial examples as additional training examples to improve the accuracy of image classification models.
Researchers from the South Korea-based tech company Hyperconnect recently proposed a new framework, MarioNETte, which aims to reenact target faces in a few-shot manner (from even a single image) while preserving identity without any fine-tuning.
An interdisciplinary team of chemists, physicists, and computer scientists have developed a deep learning algorithm that leverages fundamental quantum mechanics equations to accurately predict the quantum mechanical wave functions of molecules.
Synced Global AI Weekly November 24th
E-commerce is a fast-growing industry. In 2017, global retail e-commerce sales reached US$2.3 trillion, and e-retail revenue is expected to grow to US$4.88 trillion in 2021.
Synced has surveyed last week’s crop of papers in the fields of machine learning, computer vision, computation and language, and beyond, and identified seven studies that we believe may be of special interest to our readers.
Now, a team from Facebook AI Research, Inria, and Sorbonne Université have released CamemBERT, essentially a French version of Google AI’s game-changing pretrained language model BERT.
Microsoft’s new tunable gigaword-scale neural network DialogGPT is a virtual master of conversation that outperforms strong baseline systems in generating relevant and context-consistent responses and attains near human level performance in conversational response generation tasks.







































