AI Technology & Industry Review
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
In a new paper accepted at CVPR 2019, researchers from the Max Planck Institute for Intelligent Systems introduce a unique 4D (moving 3D images) face dataset and its learned model VOCA — Voice Operated Character Animation.
Citadel Chief AI Officer Li Deng has been named a Fellow of the Canadian Academy of Engineering (CAE) in recognition of his notable achievements in deep learning and speech recognition.
acebook’s AI’s new “Inverse Cooking” AI system reverse-engineers recipes from food images, predicting both the ingredients in the dish and their preparation and cooking instructions.
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).
Many cat owners have awoken to the sound of frenzied scrambling across the floor as their furry feline friend chases the mouse it snuck into the house in the middle of the night. Or looked up to find their pet staring down with those adorable big round eyes at the dead little fledgling it has deposited beside your pillow as a “present.“
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.”
Microsoft has updated the performance of their Multi-Task Deep Neural Network (MT-DNN) ensemble model. The significant performance boost has the model sitting comfortably atop the benchmark GLUE rankings, as shown in the following table.
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.
Synced Global AI Weekly June 16th
In a joint effort with the Perimeter Institute for Theoretical Physics and Alphabet (Google) X, Google AI researchers recently announced a new open source library, TensorNetwork, which can greatly improve the efficiency of tensor calculations for tensor network algorithms.
Architecture and weights are two essential considerations for artificial neural networks. Architecture is akin to the innate human brain, and contains the neural network’s initial settings such as hyperparameters, layers, node connections (or wiring), etc.
The 36th International Conference on Machine Learning (ICML) kicked off Monday in California. The ICML is one of the world’s two top conferences in ML and AI (the other being NeurIPS).
In a bid to provide a smoother reproduction experience, Facebook has announced the beta release of PyTorch Hub, a new pretrained model repository designed to facilitate research reproducibility testing.
A group of researchers from Tencent Technology, the Chinese University of Hong Kong, and Nankai University recently combined two commonly used techniques — Batch Normalization (BatchNorm) and Dropout — into an Independent Component (IC) layer inserted before each weight layer to make inputs more independent*.
Synced Global AI Weekly June 9th
Google today announced the release of the Beta version of TensorFlow 2.0. The new version of the world’s most popular open source machine learning library is being welcomed by developers.
Building large datasets is a time-consuming and labor-intensive task which challenges entities with limited budgets. There are hundreds of open visual datasets out there, but searching across them and their millions of entries is not a simple task.
Berkeley Artificial Intelligence Research (BAIR) has introduced a new reinforcement learning (RL) method, Stochastic Optimal Control with Latent Representations (SOLAR), which can help robots quickly learn tasks such as stacking blocks or pushing objects from visual inputs.