AI Technology & Industry Review
Technical review of the newest machine intelligence research.
Electrifying an entire dance club is easy if you have killer moves like John Travolta in Saturday Night Fever. But for the rest of us, not so much. We may shake our butts and swing our arms, but let’s face it: some people just can’t dance. But now there’s hope, thanks to AI.
Inspired by STEM-focused YouTuber carykh, Indian developer Jaison Saji has produced a deep network system, DanceNet, that can automatically generate dance moves. Synced used DanceNet to produce a short clip (below) with code published on Github.
CGI is playing an increasingly important role in contemporary culture. Filming for example a battle scene between warriors and mystic creatures in Wakanda involves much more than just dressing and directing actors.
Nvidia and the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) have open-sourced their video-to-video synthesis model. By using a generative adversarial learning framework, the method can generate high-resolution, photorealistic and temporally coherent results with various input formats, including segmentation masks, sketches, and poses.
A Google Brain research group has published a paper proposing a new method for evaluating generative models by using insights from competitive games between human players.
Google Brain Software Engineer Martin Wicke says a preview version of TensorFlow 2.0 will be released later this year. To cope with dramatic changes in both users and use-cases, TensorFlow 2.0 will shift its focus to “ease of use.” Wicke made the announcements yesterday in a Google Groups post.
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.
Nvidia’s paper Large Scale Language Modeling: Converging on 40GB of Text in Four Hours introduces a model that uses mixed precision arithmetic and a 32k batch size distributed across 128 Nvidia Tesla V100 GPUs to improve scalability and transfer in Recurrent Neural Networks (RNNs) for Natural Language tasks.
Benjamin Sanchez-Lengeling from Harvard University and Alán Aspuru-Guzik from the University of Toronto have successfully applied machine learning models to speed up the materials discovery process. Their paper Inverse molecular design using machine learning: Generative models for matter engineering was published July 27 in Science Vol. 361.
The Internet is woven into our everyday lives. We access massive amounts of data through our laptops, smartphones and tablets. This free flow of information however has prompted attempts to filter content which may not be appropriate for example for young people. One such new effort from Brazil puts virtual bikinis on nudes.
The Technical University of Munich (TUM) had lured Cheng from a Japanese research institute. At TUM he founded the Institute of Cognitive Systems (ICS). With eight employees in a central office on Karlstraße 45, Cheng set to work on his arduous task: recreating the complexities of human skin and wiring it all to a brain.
Neural networks can be notoriously difficult to debug, but a Google Brain research team believes it may have come up with a novel solution. A paper by Augustus Odena and Ian Goodfellow introduces Coverage-Guided Fuzzing (CGF) methods for neural networks. The team also announced an open source software library for CGF, TensorFuzz 1.
Since 2010, the annual ImageNet Large-Scale Visual Recognition Challenge has been the most widely recognized benchmark for testing image recognition algorithms. Tencent Machine Learning picks up the challenge with its new paper Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes.
DeepMind’s 2018 AlphaGo Zero requires 300,000 times more computing power than AlexNet did in 2013. With larger-than-ever datasets and demandingContinue Reading
ML has revolutionized vision, speech and language understanding and is being applied in many other fields. That’s an extraordinary achievement in the tech’s short history and even more impressive considering there is still no dedicated ML hardware.
The dearth of AI talents capable of manually designing neural architecture such as AlexNet and ResNet has spurred research in automatic architecture design. Google’s Cloud AutoML is an example of a system that enables developers with limited machine learning expertise to train high quality models. The trade-off, however, is AutoML’s high computational costs.
From Hayao Miyazaki’s Spirited Away to Satoshi Kon’s Paprika, Japanese anime has made it okay for adults everywhere to enjoy cartoons again. Now, a team of Tsinghua University and Cardiff University researchers have introduced CartoonGAN — an AI-powered technology that simulates the styles of Japanese anime maestri from snapshots of real world scenery.
Getting lost can be a hassle when in unfamiliar places, and a common solution is to ask a local for directions. Facebook Artificial Intelligence Research (FAIR) wants to transform their AI learning algorithm into that savvy local guide.
At the recent IEEE International Conference on Robotics and Automation (ICRA) in Brisbane, Australia, the Best Student Paper award went to ETH Zurich Autonomous Systems Laboratory (ASL)’s Miguel de la Iglesia Valls et al. for Design of an Autonomous Racecar: Perception, State Estimation and System Integration.
A new research paper demonstrating the first Automatic Grammatical Error Correction system to reach human-level performance has been published on arXiv by Tao Ge, Furu Wei and Ming Zhou from the Natural Language Computing Group, Microsoft Research Asia.
At the Baidu Create 2018 AI developer conference which kicked off today in Beijing, the company announced a series of AI-based innovations and product releases that seem designed to regain public trust.
A team of Chinese quantum physicists has demonstrated the world’s first 18-qubit entanglement. This is the largest entangled state ever in all physical systems, and represents a big step towards large-scale highly efficient quantum computing.
The International Conference on Machine Learning (ICML) 2018 will be held July 10 – 15 in Stockholm, Sweden. Yesterday, from more than 600 accepted papers, the prestigious conference announced its Best Paper Awards.
IBM today announced it will release the world’s largest facial attribute dataset in order to fight bias in artificial intelligence systems used to recognize human faces. The dataset was built by IBM research scientists and contains one million images, five times the image count of the current largest facial attribute dataset. It will be publically available this fall.
In a new video posted by IEEE Spectrum, a 7.38-kilogram red robot composed of 12 interlinking modules swiggles through a 60 cm gap before rising and floating in mid-air like the mythical Dragon it is named after.
The NVIDIA DeepStream Software Development Kit (SDK) was originally released in 2017 to simplify the deployment of scalable intelligent video analytics (IVA) powered by deep learning. Developers can use DeepStream to process, understand and categorize video frames in real time and within stringent throughput and latency requirements.
The Baidu Silicon Valley Artificial Intelligence Lab has released a paper which proposes a neural conditional random field (NCRF) process for cancer metastasis detection on Whole Slide Images (WSIs).
The paper Relational inductive biases, deep learning, and graph networks, published last week on arXiv by researchers from DeepMind, Google Brain, MIT and University of Edinburgh, has stimulated discussion in the artificial intelligence community.
Earlier this week the Association for Computational Linguistics (ACL) 2018 announced its Best Two Short Papers, neither of which had yet been published. Today the AI community got its first look at one of the winners when Know What You Don’t Know: Unanswerable Questions for SQuAD was released on arXiv.
The Association for Computational Linguistics (ACL) will hold its 56th Annual Meeting July 15 – 20 in Melbourne, Australia. Yesterday, the ACL 2018 organising committee announced its three best long papers and two best short papers.
GcForest, a decision tree ensemble approach that is much easier to train than deep neural networks, has received a lot of attention from researchers since it was introduced by Prof. Zhihua Zhou and his student Ji Feng last year. Based on their previous work, Zhou, Feng and Nanjing University colleague Yang Yu have now proposed Multi-layered Gradient Boosting Decision Trees (mGBDTs).
Synced recently spoke with Delian Capital Senior Vice President Xuesong Fan about the current status of automated driving startups. Fan graduated from Harbin Engineering University and worked for years on Chinese satellite engineering. In 2015 came down to earth, applying his experience to self-driving car investments.
UC Berkeley’s Artificial Intelligence Research Lab (BAIR) has open-sourced their newest driving database, BDD100K, which contains over 100k videos of driving experience, each running 40 seconds at 30 frames per second.
In his keynote at the Tencent Cloud Service Summit 2018 in Guangzhou today, Tencent Founder and CEO Pony Ma introduced his company’s new Super Brain platform and a Three Nets cloud concept comprising the “Internet of Things,” “Internet of Humans” and “Internet of Intelligence.”
Beijing-based artificial intelligence startup Unisound, (a.k.a. Yunzhisheng / 云知声) today announced that it had raised US$100 million in Series C funding, the richest-ever single funding round for a smart voice technology startup.
While Poggio the teacher has taught some extraordinary leaders in AI, Poggio the scientist is renowned for his theory of deep learning, presented in papers with self-explanatory names: Theory of Deep Learning I, II and III.
Tencent today officially launched its first-ever smart speaker, Tencent Tingting (腾讯听听), which can send or receive voice messages via WeChat.
A Chatbot is information service interface done by a computer program, sometimes with the help of artificial intelligence (AI). Chatbot applications range from functional to fun, and have been growing quickly both in sophistication and popularity.
Ninety percent of AI-enabled devices shipped today are based on architecture developed by Arm, a leading UK-based chip intellectual property (IP) provider known for its CPU and GPU processors…
Sichuan pig farming corporation Dekon Group and pig feed supplier Tequ Group’s new partnership with Alibaba Cloud to apply its AI-powered “ET Brain” to pig farming. The trio are investing tens of millions of USD in the project, which was announced on February 6, 2018.