DeepMind Transporter: Unsupervised Learning of Object Keypoints
In common reinforcement learning (RL) domains, existing keypoint discovery methods struggle to perceive keypoints in an image when there are limited objects present.
Tag: Artificial Intelligence_
Baidu PaddlePaddle DL Framework & Huawei Kirin SoC: A Formidable Partnership
Baidu’s homegrown deep learning framework PaddlePaddle will empower Huawei’s Kirin smartphone chips, the company announced at the Baidu Create 2019 AI Developer Conference that kicked off today in Beijing.
Concerns on Social Media Over Google ML Patents
A Reddit post has triggered discussions regarding a patent Google filed on Dropout supposedly becoming active last week.
MIT Drag-and-Drop Data Analytics: Machine Learning for Everyone
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.
Searching for Code? Let a Neural Network Do That for You!
Facebook published a blog article demonstrating their newly developed code search tool, Neural Code Search (NCS).
Sidewalk Labs Releases $900 Million Blueprint for Toronto’s Tomorrow; Autonomous Vehicle Enterprises Explore New Roads
Synced Global AI Weekly June 30th
AI x Global 500 Healthcare Companies | Drug Supply, Wearables & Glucose Monitoring
In the late 2000s Fortune Global 500 healthcare companies ramped up AI deployment in the industry, from in-hospital diagnosis and treatment to drug supply chain and out-of-hospital scenarios.
DeepFake Nudie App Goes Viral, Then Shuts Down
Just two days after a story on Motherboard went viral, developers of the “DeepNude” AI-powered software that enables users to virtually disrobe images of women have announced they are shutting down the website and the free and premium versions of the app they launched in March.
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
Parsing fine-grained temporal actions is vital in application scenarios that require an understanding of detailed and precise operations over long-term periods, such as daily activity understanding, surgical robots, human motion analysis and animal behavior analysis.
The Staggering Cost of Training SOTA AI Models
While it is exhilarating to see AI researchers pushing the performance of cutting-edge models to new heights, the costs of such processes are also rising at a dizzying rate.
Geoffrey Hinton’s Unsupervised Capsule Networks Achieve SOTA Results on SVHN
In 2017 the “Godfather of Deep Learning” Geoffrey Hinton and his students Sara Sabour and Nicholas Frosst proposed the discrimininatively trained, multi-layer capsule system “CapsNet” in their paper Dynamic Routing Between Capsules.
Microsoft Obj-GAN Turns Words into Complex Scenes
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.
CMU & Google XLNet Tops BERT; Achieves SOTA Results on 18 NLP Tasks
A team of researchers from Carnegie Mellon University and Google Brain have now proposed XLNet, a new language model which outperforms BERT on 20 language tasks including SQuAD, GLUE, and RACE; and has achieved SOTA results on 18 of these tasks.
CVPR Announces Best Paper Awards; ImageNet Honoured 10 Years Later
Synced Global AI Weekly June 23th
AI Development and Trends in E-Commerce
The traditional retail industry is undergoing a significant reinvention and upgrade as more and more brick and mortar stores boost business by adopting e-commerce platforms powered by cutting-edge tech.
Huawei 7nm Kirin 810 Beats Snapdragon 855 and Kirin 980 on AI Benchmark Test
At Huawei’s Nova 5 Series smartphone launch event yesterday the Chinese tech giant unveiled its new 7nm SoC, the Kirin 810.
Build Realistic Human Speech Animations with the New VOCA Model and 4D Face Dataset
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.
From Foodie Pic to Your Plate: Generating Recipes With Facebook AI
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.
Leading Researchers Publish ‘Climate Change + AI’ Document
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).
If Tom Brings Jerry Home, ML Locks the Cat Door
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.“
MNIST Reborn, Restored and Expanded: Additional 50K Training Samples
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.”
CVPR 2019 Attracts 9K Attendees; Best Papers Announced; ImageNet Honoured 10 Years Later
The 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) kicked off today in Long Beach, California. CVPR is one of the world’s top three academic conferences in the field of computer vision (along with ICCV and ECCV).
Microsoft MT-DNN Surpasses Human Baselines on GLUE Benchmark Score
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.
Yoshua Bengio on the Turing Award, AI Trends, and ‘Very Unfortunate’ US-China Tensions
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.
CVPR 2019 | Waymo Introduces Open Dataset to Accelerate Autonomous Driving Research
Alphabet’s autonomous driving unit Waymo surprised many by releasing a new high-quality multimodal sensor dataset for autonomous driving. The *Waymo Open Dataset *was introduced at top AI conference Computer Vision and Pattern Recognition (CVPR) 2019 in Long Beach, California.
ICML Announces Best Paper Awards; What to Expect at CVPR 2019
Synced Global AI Weekly June 16th
The Online Dating Industry Loves Artificial Intelligence
Instead of having users simply swipe through headshots, many new dating apps and online platforms are leveraging artificial intelligence to introduce a variety of novel approaches to smart matchmaking.
AI for Good, AI for Gender Equality
The more than 2,000 participants from over 120 countries were here for the *AI for Good Global Summit in Geneva 2019* — four days of presentations and discussions on how to make the world a better place for children to grow up in by leveraging the emerging power of machine learning.
Peeking Inside DNNs With Information Theory
Deep learning model performance has taken huge strides, allowing researchers to tackle tasks which were simply not possible for machines less than a decade ago.
Are Weights Really Important to Neural Networks?
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.
RingNet | 3D Face Estimation Without 3D Supervision
In a new paper accepted at CVPR 2019, researchers from the Max Planck Institute for Intelligent Systems introduce RingNet, an end-to-end trainable network which learns to compute 3D face shape from a single face image without 3D supervision.
ICML 2019 | Google, ETH Zurich, MPI-IS, Cambridge & PROWLER.io Share Best Paper Honours
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).
New Facebook PyTorch Hub Facilitates Reproducibility Testing
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.
New DeepMind Unsupervised Image Model Challenges AlexNet
A new paper from Google’s UK-based research company DeepMind addresses this with a model based on Contrastive Predictive Coding (CPC) that outperforms the fully-supervised AlexNet model in Top-1 and Top-5 accuracy on ImageNet.
BatchNorm + Dropout = DNN Success!
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*.
Chatbots, AI Generated Fake Faces & Carbon Footprints — What’s Hot on Reddit?
Synced Global AI Weekly June 9th
VisualData: A Search Engine for Computer Vision Datasets
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.
DeepMind AI Reaches Human-Level Performance in Quake III Arena
DeepMind is a trailblazer in the trending computer vs humans gaming research space. Following milestone victories against human pros on the board game Go and video game StarCraft II, the Google-owned research company has now pitted their new AI system against humans in the first-person shooter multiplayer video game Quake III Arena.
Going Beyond GAN? New DeepMind VAE Model Generates High Fidelity Human Faces
Generative adversarial networks (GANs) have become AI researchers’ “go-to” technique for generating photo-realistic synthetic images. Now, DeepMind researchers say that there may be a better option.
AI Beatbox and Self-Awareness: A Night of Artistic Intelligence
Hundreds of artificial intelligence researchers, UN staff and curious locals listened, watched and tapped their feet as London-born composer and human beatboxer Reeps One “battled” against an AI-powered real-time music generator trained on his own riffs.