China’s Standing Committee of the National People’s Congress has amended its Civil Code Personality Rights (Draft) to stipulate that no organization or individual may infringe the portrait rights of others by means of digital technology forgery.
Advanced machine learning techniques and the widespread deployment of surveillance cameras have dramatically improved the efficiency and accuracy of human detection systems in airports, train stations, and other sensitive public places. Is this the end of anonymity?
Thanks to the CUDA architecture  developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to evaluate the performance achieved by TensorFlow, PyTorch, and MXNet on Titan RTX.
Researchers from Facebook, the National University of Singapore, and the Qihoo 360 AI Institute have jointly proposed OctConv (Octave Convolution), a promising new alternative to traditional convolution operations. Akin to a “compressor” for Convolutional Neural Networks (CNN), the OctConv method saves computational resources while boosting effectiveness.
Interactive movies are redefining cinema and storytelling and opening up a world of possibilities in the entertainment industry. There are no “spoilers” for films with no predetermined endings, whose characters and plots develop based on viewers’ real-time direction. Now, what if these viewers became characters?
ccording to a Fuji Research Laboratory report, the Japanese smart home market is expected to top JP¥4.2 trillion (US$38 billion) in 2025, up 36.3 percent from 2017. The market is being driven by smart devices including smartphones, which already account for more than half the market and are continuing to grow due their ability to conveniently connect IoT devices.
Chinese technology giant Tencent has open-sourced its face detection algorithm DSFD (Dual Shot Face Detector). The related paper DSFD: Dual Shot Face Detector achieves state-of-the-art performance on WIDER FACE and FDDB dataset benchmarks, and has been accepted by top computer vision conference CVPR 2019.
A collaboration between researchers from China’s Beihang University and Microsoft Research Asia has produced TableBank, a new image-based dataset for table detection and recognition built with novel weak supervision from Word and Latex documents on the Internet.
Artificial intelligence and machine learning have become powerful tools for tech giants looking to build the optimal cloud service platform. To catch up with rivals Amazon Web Services and Microsoft Azure, Google is accelerating the development of its own cloud services.
As robots take over industrial manufacturing, specific and accurate robot control is becoming more important. Conventional feedback control methods can effectively solve various types of robot control problems by capturing structures with explicit models such as motion equations.
Facebook AI Research has announced it is open-sourcing PyTorch-BigGraph (PBG), a tool that can easily process and produce graph embeddings for extremely large graphs. PBG can also process multi-relation graph embeddings where a model is too large to fit in memory.
A year ago, Shenzhen-based self-driving start-up Roadstar.ai was cruising along promisingly. In May 2018 the company announced a US$128 million funding round led by Wu Capital and state-backed Shenzhen Capital Group — one of the largest autonomous driving investments ever in China.
Now, China’s elite Central Conservatory of Music (CCOM) has announced it is recruiting PhDs for a new Music AI and Information Technology program. CCOM says prospective students should have a background in Computer Science, AI, or Information Technology; along with musical abilities (instrument playing or singing).
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.
Google Brain researchers have proposed LAMB (Layer-wise Adaptive Moments optimizer for Batch training), a new optimizer which reduces training time for its NLP training model BERT (Bidirectional Encoder Representations from Transformers) from three days to just 76 minutes.
It’s a fanciful little one-piece in shimmering green and aquamarine with bold fuschia shoulder accents — perfect for a night out on the town. Is this a new dress from a Milan or Tokyo collection? Nope, it was designed by an AI-powered machine, and produced by a couple of MIT graduates.
Today is April Fool’s Day, and despite Microsoft’s efforts to ban such pranks, many tech companies could not resist joining in the centuries-old spoofing tradition. However, given the already incredible achievements of cutting-edge AI technologies, some of today’s hoaxes actually look pretty convincing.
Chinese AI company iFLYTEK has bested the SQuAD2.0 challenge once again. The model “BERT + DAE + AoA” submitted by the joint iFLYTEK Research and HIT (Harbin Institute of Technology) laboratory HFL outperformed humans on both EM (exact match) and F1-score (fuzzy match) indexes to top the SQuAD2.0 leaderboard.