ICCV 2019 and CoRL 2019 Announce Best Papers; DeepMind AlphaStar Reaches ‘Grandmaster Level’
Synced Global AI Weekly November 3rd
AI Technology & Industry Review
Synced Global AI Weekly November 3rd
DeepMind researchers are expanding GANs to audio, with a new adversarial network approach for high fidelity speech synthesis.
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.
DeepMind researchers have brought quantum Monte Carlo (QMC) to a higher level with the Fermionic Neural Network — or Fermi Net — a neural network with more flexibility and higher accuracy.
Now AI researchers have created a similar evaluation system to assess the relative performance of reinforcement learning (RL) systems across different tasks.
Frame-by-frame fine-grained labeling is however a time-consuming task. To tackle this problem, researchers from Google AI and DeepMind have introduced a novel self-supervised learning method called Temporal Cycle-Consistency Learning (TCC).
Synced Global AI Weekly July 28th
he rapid development of AI models such as variational autoencoders (VAE) and generative adversarial networks (GAN) that can generate audio, images and video has opened a Pandora’s box of digital fakery.
Blizzard Entertainment, the American video game developer and publisher behind the StarCraft series, announced that AlphaStar will join the competitive ladder in Europe on the online gaming platform Battle.net, where it will play a limited number of games against human players.
Commercial research labs run by Google Research, DeepMind, and OpenAI are taking central stage in the artificial intelligence era. The eye-popping achievements of these massively-funded AI labs are constantly producing headlines in tech journals and even mainstream media.
In common reinforcement learning (RL) domains, existing keypoint discovery methods struggle to perceive keypoints in an image when there are limited objects present.
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 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.
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.
Synced Global AI Weekly June 2nd
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.
DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects.
Synced Global AI Weekly April 7th
DeepMind trained and tested its neural model by first collecting a dataset consisting of different types of mathematics problems. Rather than crowd-sourcing, they synthesized the dataset to generate a larger number of training examples, control the difficulty level and reduce training time.
Facing the incomplete information environment, the asynchronous neural virtual self-play (ANFSP) method allows AI to learn to generate optimal decisions in multiple virtual environments. The approach has performed well in Texas Hold’em and multiplayer FPS video games.
DeepMind’s Research Platform Team has open-sourced TF-Replicator, a framework that enables researchers without previous experience with the distributed system to deploy their TensorFlow models on GPUs and Cloud TPUs. The move aims to strengthen AI research and development.
Having notched impressive victories over human professionals in Go, Atari Games, and most recently StarCraft 2 — Google’s DeepMind team has now turned its formidable research efforts to soccer. In a paper released last week, the UK AI company demonstrates a novel machine learning method that trains a team of AI agents to play a simulated version of “the beautiful game.”
Synced Global AI Weekly February 10th
Synced Global AI Weekly February 3rd
DeepMind bot AlphaStar has scored a convincing 10/10 victory against pro human players in a special series of StarCraft II matches. Plucky 26 year-old Polish gamer Grzegorz “MaNa” Komincz however salvaged a bit of human pride, snatching a surprise win yesterday in a live rematch at the DeepMind and Blizzard Entertainment Starcraft II Demonstration live stream event hosted in London.
DeepMind and Blizzard Entertainment will present a StarCraft II live-stream demonstration on Thursday, Jan 24. The London-based Alphabet company known for taking down the world’s top Go master in 2017 tweeted the announcement yesterday.
Synced Global AI Weekly December 9th
In 2016 Google’s DeepMind stunned the world when their Go computer AlphaGo secured a historic victory over Korean grandmaster Lee Sedol. Yesterday the UK’s top AI team delivered their latest “wow moment” as their AI system AlphaFold topped the Critical Assessment of Structure Prediction (CASP) competition.
Synced Global AI Weekly Nov 18th
Google DeepMind has announced that its project with London’s Moorfields Eye Hospital will now include working with clinicians to predict eye diseases before symptoms occur.
It’s known that deep neural network models — mostly discriminative models — are prone to making poor predictions with high confidence when they encounter data distribution scenarios that vary too much from their training data.
DeepMind announced today that it has opened its Graph Nets (GN) library to the public, enabling the use of graph networks in TensorFlow and Sonnet. Graph Nets is a machine learning framework that was published by DeepMind, Google Brain, MIT and University of Edinburgh on Jun 15.
Adding Baidu’s voice will broaden PAI’s understanding of global AI technologies and their ethical implications. Chinese companies are pushing forward with a wide adoption of AI technologies across industries from healthcare to transportation and beyond.
DeepMind announced today that it is open-sourcing its TRFL (pronounced ‘truffle’) library, which contains a variety of building blocks useful for developing reinforcement learning (RL) agents in TensorFlow.
Last month’s ReWork Deep Learning Summit in London provided a peek at current recent research progress and future trends in artificial intelligence technologies. The two-day event featured top scientists and engineers from Facebook, MIT Media lab, DeepMind and other leading institutes.
“Best GAN samples ever yet? Very impressive ICLR submission! BigGAN improves Inception Scores by >100.” The above Tweet is from renowned Google DeepMind research scientist Oriol Vinyals. It was retweeted last week by Google Brain researcher and “Father of Generative Adversarial Networks” Ian Goodfellow, and picked up momentum and praise from AI researchers on social media.
Blockchain hardware, software, and services company Bitmain confirms it will build a data center in Rockdale, Texas and invest US$500 million in the United States over the next seven years. Bitmain will launch a local training program and hire more than 400 employees.
Artificial intelligence can now match or outperform human experts in diagnosis and referral on eye diseases, suggests a new paper from DeepMind. The UK-based, Google-owned research institute today released joint research results with the UK’s Moorfields Eye Hospital and UCL Institute of Ophthalmology, which present a new AI technique in the context of OCT imaging. The paper was published on Nature Medicine’s website.
The 2018 International Joint Conference On Artificial Intelligence (IJCAI) opened today in Stockholm, Sweden, with a record-setting 2,500 attendees gathering at the Stockholm International Fairs convention centre.