AI Technology & Industry Review
Machine learning research resource Papers with Code last week introduced Sotabench, a free and open website created to benchmark and rate the performance of state-of-the-art open source models from GitHub.
In the paper ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer, a team of researchers from Peking University and Tsinghua University propose an end-to-end GAN-based architecture that can transfer input photos into the style of Chinese ink wash paintings.
Researchers from the Huazhong University of Science and Technology and Huawei Noah’s Ark Lab have introduced TinyBERT, a smaller and faster version of Google’s popular large-scale pre-trained language processing model BERT.
Tech giant Google’s recent claim regarding quantum supremacy created a buzz in the computer science community and got global mainstream media talking about quantum computing breakthroughs.
In a bid to help software developers and foster innovative code search research, GitHub last week announced the CodeSearchNet Challenge in a joint effort with California-based machine learning development tools startup Weights & Biases.
An R&D team from Japanese multinational conglomerate Hitachi has proposed a similar, sound-based technique for identifying malfunctioning industrial robots on a factory floor.
A team of researchers have proposed a number of “recommendations to data providers, academic publishers, and the ML4H research community in order to promote reproducible research moving forward” in their new paper Reproducibility in Machine Learning for Health.
This summer Google Research extended BERT to video and introduced VideoBERT, a self-supervised learning model that can learn the relationship between videos and texts.
The University of Cambridge has appointed Professor Neil Lawrence as its first DeepMind Professor of Machine Learning, a new position supported by Google-owned, UK-based AI research company DeepMind.
Researchers from Element AI, MILA (Montréal Institute for Learning Algorithms), and Université de Montréal have introduced a powerful transfer language model that can summarize long scientific articles effectively, outperforming traditional seq2seq approaches.
The Re•Work AI in Insurance Summit in New York City was held September 5-6 and saw 60 speakers from insurance-related companies cover a wide range of topics — from detecting claims fraud to applying machine learning to underwriting and maximizing revenue.
Synced Global AI Weekly September 15th
For an AI system to acquire knowledge the way humans generally do it would need to interact with its surroundings and extract information through its own attention and analysis choices. That’s the idea behind a new paper from Microsoft Research, Polytechnique Montreal, MILA and and the University of Montreal.
More and more social apps are now leveraging AI technologies such as machine learning, deep neural networks and facial recognition to enable users to create highly-individualized emojis from selfies and photos.
To ramp up the robustness of neural networks, researchers from OpenAI have introduced a novel method that evaluates how well a neural network classifier performs against adversarial attacks that were not seen during their training.
In a recent interview with Synced, Shawe-Taylor spoke on his role at UNESCO, emerging AI trends and the tech’s unseemly side, human-centered AI research, and the progress of AI in Europe.
One of the world’s largest financial companies, Alibaba subsidiary Ant Financial, recently introduced Shared Machine Learning (SML) as their solution for data privacy.
Synced Global AI Weekly August 18th
Israeli research company AI21 Labs today published the paper SenseBERT: Driving Some Sense into BERT, which proposes a new model that significantly improves lexical disambiguation abilities and has obtained state-of-the-art results on the complex Word in Context (WiC) language task.
A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language.
In a bid to combine anime and cartoon culture with machine learning, a research team from China’s leading video streaming service iQIYI has introduced a novel large unconstrained cartoon dataset they call “iCartoonFace.”
Recently, Facebook AI Research (FAIR) researchers introduced a structured memory layer which can be easily integrated into a neural network to greatly expand network capacity and the number of parameters without significantly changing calculation cost.
Researchers at the Seattle Allen Institute for Artificial Intelligence (AI2) have proposed a Green AI initiative designed to make future AI research more energy efficient.
A research team from Julia Computing and the Massachusetts Institute of Technology propose that extensive scientific computing and machine learning domains both require linear algebra support on their underlying structures.
Synced Global AI Weekly July 28th
A hot topic today is Intelligent Pilot Systems, an automotive driving concept comprising a smart vehicle assistant that enables a user to interact with the vehicle via voice; and intelligent mechanized function control for car entertainment, safety, autonomous driving and navigation.
The Shibei·GMIS 2019 Global Machine Intelligence Summit, a top-tier Chinese artificial intelligence conference, took place July 19 – 20 at the Shanghai Marriott Hotel Parkview.
Synced Global AI Weekly July 21st
Carnegie Mellon University researchers have made another leap in the field with their Joint Language-to-Pose (JL2P) model, which generate animations from text input via a joint multimodal space comprising language and poses.
Synced Global AI Weekly July 14th
Artificial intelligence is having a revolutionary effect on industrial production. In the following article, Baidu Ventures Partner and Founder of Comet Labs Saman Farid shares his thoughts on recent changes and future trends in Machine learning-driven production philosophies and technologies.
Forerunners Google and NVIDIA announced today that they have set new AI training time records on the MLPerf benchmark competition.
Leading UK AI research company DeepMind has now proposed “BigBiGAN” (not BigBigGAN, but BigBiGAN), which achieves state-of-the-art results in both unsupervised representation learning on ImageNet and in unconditional image generation.
If you are a developer who has ever wished for a rich collection of machine learning algorithms implemented exclusively in NumPy, then you’ll love Numpy-ml — a new GitHub project that’s winning accolades from across the global machine learning community.
Artificial intelligence is changing the operation modes of industrial production, and has become one of the key tools in the new era of global manufacturing.
In common reinforcement learning (RL) domains, existing keypoint discovery methods struggle to perceive keypoints in an image when there are limited objects present.
A Reddit post has triggered discussions regarding a patent Google filed on Dropout supposedly becoming active last week.
MIT and Brown have now upgraded the Northstar platform with an AutoML-based component called Virtual Data Scientist (VDS), which helps users generate machine learning models to run prediction tasks on datasets.
Researchers from Microsoft and JD AI Labs have proposed Object-driven Attentive Generative Adversarial Networks (Obj-GAN) a new model capable of generating relatively complex scenes based on a short phrase or sentence of descriptive text.
Synced Global AI Weekly June 23th