ICML Announces Best Paper Awards; What to Expect at CVPR 2019
Synced Global AI Weekly June 16th
AI Technology & Industry Review
Synced Global AI Weekly June 16th
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.
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.
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.
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.
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.
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 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.
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
A favourite is the collaborative card game Hanabi, which won the 2013 Spiel des Jahres and 2013 Fairplay À la Carte Award. The game has now drawn the attention of AI researchers.
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.
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.
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.
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.
Might there be a more efficient approach to scaling up CNNs to improve accuracy? Researchers from Google AI say “yes” and have proposed a new model scaling method in their ICML 2019 paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Researchers from Technische Universität Wien, Austria, and Politecnico di Torino, Italy, explored adversarial attacks on Capsule Networks, proposing an algorithm which automatically generates targeted adversarial examples in black-box attack scenarios.
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.
In a new statement issued late Sunday, the world’s largest technical professional organization the Institute of Electrical and Electronics Engineers (IEEE) announced it is lifting restrictions it had imposed scarcely a week ago on editorial and peer reviews involving employees of Chinese tech communication giant Huawei.
Synced Global AI Weekly June 2nd
By 2050 almost one-in-four humans will be aged 60 years and older, double today’s share. Moreover, the number of people aged 80 years and older will quadruple. This demographic shift is opening new vistas for AI technologies in elders’ daily healthcare management, and as a useful tool for healthcare professionals and institutions treating seniors.
The two-day RE•WORK Deep Learning Summit Boston 2019 gathered more than 60 speakers from top AI labs such as MIT CSAIL, Uber AI Labs, Adobe Research and other experts from the AI healthcare industry who provided high-level deep learning technical discussions and industry application insights.
Earlier this month restored images of iconic Hong Kong film stars like Bridget Lin and Joey Wong began circulating on Chinese social media. An AI-enabled touch-up process revealed distinct facial contours and features in old and fuzzy or low-res photos, revisiting the comely visages that made the public fall in love with these ’90s stars.
The world’s biggest technical professional organization, the Institute of Electrical and Electronics Engineers (IEEE) issued a statement on May 22 that forbids its colleagues from Huawei and 68 of its affiliates from reviewing or accessing non-public papers submitted by other persons for publications.
Researchers from Tsinghua University and Huawei Noah’s Ark Lab recently proposed a new model that incorporates knowledge graphs (KG) into training on large-scale corpora for language representation.
The top semiconductor and hardware companies have arrived in Taipei, Taiwan for Computex 2019. The world’s biggest computer show is a preferred stage for the likes of AMD, Intel, NVIDIA, and Arm to showcase their latest chip designs.
Compressed Sensing’s ability to exploit the structure of natural images and recover an image from limited random measurements have made it an elegant framework for recovering sparse signals from compressed measurements.
A Google Brain research team led by Turing Award recipient Geoffrey Hinton recently published a paper that presents an effective method for measuring the similarity of representations learned by deep neural networks.
Synced Global AI Weekly May 26th
Facial recognition is a major class of biometric technology which is increasing its market share while expanding its applications across multiple industries.
The Microsoft Conference Management Toolkit (CMT) that leading machine learning conference NeurIPS 2019 uses to process academic paper submissions failed in the countdown to yesterdays’s 1 p.m. PT submission deadline.
Google AI has introduced a deep learning based approach that generates depth prediction from videos where both camera and subject are in motion.
Imagine the lips forming the Mona Lisa’s famous smile were to part, and she began “speaking” to you. This is not some sci-fi fantasy or a 3D face animation, it’s an effect achieved by researchers from Samsung AI lab and Skolkovo Institute of Science and Technology, who used adversarial learning to generate a photorealistic talking head model.
The Association for Computing Machinery (ACM) has announced the recipient of its 2018 ACM Doctoral Dissertation Award. Chelsea Finn, a PhD student from UC Berkeley, took the top honour with her paper Learning to Learn with Gradients.
A group of AI experts from top US universities is organizing a sample-efficient reinforcement learning competition, MineRL, which will start on June 1, 2019. The organizers want to increase group participation in reinforcement learning and are encouraging people to “play to benefit science”.
Google’s deep learning TensorFlow platform has added Differentiable Graphics Layers with TensorFlow Graphics, a combination of computer graphics and computer vision. Google says TensorFlow Graphics can solve data labeling challenges for complex 3D vision tasks by leveraging a self-supervised training approach.
Facebook announced today that it is open-sourcing Pythia, a deep learning framework for vision and language multimodal research framework that enables researchers to “more easily build, reproduce, and benchmark AI models.”