A research team from the Hong Kong University of Science and Technology and Harbin Engineering University has adopted facial recognition technology to analyze students’ emotions in the classroom through a visual analytics system called “EmotionCues.”
Last August at the Dota 2 International tournament in Seattle, OpenAI introduced an AI bot that upset the world’s top 1v1 human player. The San Francisco-based AI research institute is now at the International 2018 in Vancouver, where their team of state-of-the-art bots is battling professional human teams in a highly anticipated best-of-three 5v5 Dota 2 showdown.
The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) opened on August 19 at the Excel Center in London, UK. Best Paper Awards go to a Technical University of Munich team for “Adversarial Attacks on Classification Models for Graphs (Adversarial Attacks on Neural Networks for Graph Data)” in the Research Track; and “Real-time Personalization using Embeddings for Search Ranking at Airbnb”, by a team from Airbnb, in the ADS Track.
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.
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.
Computers are now excellent at recognizing images of human faces, cats and dogs — but struggle when it comes to detecting continuous actions, for example determining if a character in a video might be “dancing the tango.” Computers also fall short in detecting nuanced expressions of human emotions.
On August 8th Chinese Q&A website Zhihu — named after the Mandarin phrase “Do You Know?” — announced it had raised US$270 million in its Series E funding round. With 180 million registered users and 110 million answered posts, China’s biggest Q&A website and fourth-largest social media platform’s total valuation now stands at US$2.5 billion.
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.
At the prestigious SIGGRAPH (Special Interest Group on Computer GRAPHics and Interactive Techniques) conference in Vancouver yesterday, Nvidia CEO Jensen Huang announced Turing, an eighth-generation GPU architecture introducing ray tracing and AI capability to real-time graphics.
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.
Robert S. Warren, MD is a Professor of Surgery and a specialist in gastrointestinal and liver cancer. Dr. Warren joined UCSF Medical Center in 1988. Highly respected by his peers, Dr. Warren was named to the list of U.S. News “America’s Top Doctors,” a distinction reserved for the top 1% of physicians in the nation for a given specialty.
MORE Health is a Silicon Valley-based company that provides access to top international physicians for patients faced with critical illnesses such as cancer or heart disease. The company was founded in 2013, and recently took a leap forward by partnering with Houston-based Melax Technologies…
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.
Shanghai-based Tianrang Intelligence announced today that it has secured over US$26 million in Series A funding led by CMB International Capital and Gaorong Capital, with Ziniu Fund and Wacai Technology also participating. The two-year-old startup is working on general artificial intelligence solutions and will use the new funding to create a “City Brain Lab.”
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.
Guangzhou-based Xiaopeng Motors (Xpeng) announced today that it had scored CN¥4 billion (US$585 million) in its Series B+ funding round. This is the largest 2018 single-round funding total among Chinese Electric Vehicle startups (NIO, Byton, WM Motor, etc.), and pushes Xpeng’s valuation to CN¥25 billion (US$3.66 billion).
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.
Scientists at the National Supercomputing Center of Tianjin in China have unveiled their prototype of a next-generation exascale supercomputer. The centre says the Tianhe-3 (天河3号) can perform at one exaFLOPS, or a billion billion calculations per second— the threshold for coveted “exascale” status.
Over the past year Chinese startups and tech giants alike have developed their own voice technology ecosystems comprising product manufacturers, tech solution providers, content makers, and platforms designed to help hardware or skill applications “speak and be smarter.” In this article, we look at the current state of open voice platforms in China.
At the annual Google Cloud Next conference which kicked off July 24 in San Francisco the company unveiled a series of AI-based product releases and enhancements for its analytics and machine learning tools, additional applications on G Suite, and new IoT products.
Meituan, one of China’s biggest group buying service providers, today announced an ambitious strategy to support autonomous delivery vehicles: “The company is going to use self-driving technologies to build the world’s largest interactive platform for intelligent delivery, and to speed up the development of unmanned delivery technology.”
Chinese IoT startup Tuya Smart has completed its Series C funding with nearly US$200 million, led by Future Fund, NEA, China Broadband Capital, Quadrille Capital and C.M.Capital. The company will apply the funds to its AI+IoT, Smart City, Smart Business and Smart Home technologies.
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.
Facebook is working with a select group of advertisers to create augmented reality ads for its News Feed. When users activate an ad’s tap-to-try AR capability it can display for example how a pair of glasses would look on their face via the user’s webcam and screen. Facebook says it also intends to expand shopping support in Instagram Stories.
Four years after its founding, human-computer interaction and robotics company Rokid held its first major press conference on June 26 in Hangzhou. Dubbed “Rokid Jungle,” Founder and CEO Misa Zhu quipped that the presser was “a combination of Google IO and Apple WWDC.”