AI Technology & Industry Review
Daniel Povey, the main developer of the widely used open-source speech recognition toolkit Kaldi, tweeted today that he is likely joining Chinese smartphone giant Xiaomi at its Beijing headquarters to work on a next generation “PyTorch-y Kaldi.”
In recent years frontier technologies such as AI, big data, IoT, and 3S technology (RS remote sensing technology, GIS geographic information systems, and GPS global positioning systems), have been aggressively deployed to accelerate the modernization of Chinese agriculture.
A recently released Chinese deepfake mobile application, “ZAO,” enables just about anyone to easily swap faces with popular characters such as Sheldon Cooper in The Big Bang Theory, Marilyn Monroe’s Lorelei Lee in Gentleman Prefer Blondes, Jack Dawson in The Titanic, and so on.
Researchers from Two Six Labs and Stanford Schnitzer Lab have developed a deep learning system designed to explore the workings of the mouse mind and predict behavior by processing brain-based electrical activity with a neural network.
A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language.
The traditional retail industry is facing challenges as the rapid development and continuous improvement of AI tools and techniques ushers in the era of New Retail.
Alibaba’s chip subsidiary Pingtouge (平头哥) yesterday introduced its first product, an RISC-V (Reduced Instruction Set Computer) processor.
Since Google Research introduced its Bidirectional Transformer (BERT) in 2018 the model has gained unprecedented popularity among researchers. Now, a group of researchers from the National Cheng Kung University Tainan in Taiwan are challenging BERT’s efficacy.
The Shibei·GMIS 2019 Global Machine Intelligence Summit, a top-tier Chinese artificial intelligence conference, took place July 19 – 20 at the Shanghai Marriott Hotel Parkview.
Google researchers have introduced a new face detection framework called BlazeFace, adapted from the Single Shot Multibox Detector (SSD) framework and optimized for inference on mobile GPUs.
Researchers from UC Berkeley and the Universities of Washington and Chicago have released a set of natural adversarial examples, which they call “ImageNet-A.”
Synced Global AI Weekly July 21st
This time next year an expected 10 million foreign visitors and millions of Japanese from Hokkaido to Okinawa will converge on the Tokyo Metropolis for the Games of the XXXII Olympiad.
Researchers from Carnegie Mellon University and Google Brain have now proposed an unsupervised data augmentation (UDA) technique that significantly improves semi-supervised learning (SSL) by conducting data augmentation on unlabeled data.
The developers behind TabNine have introduced a new deep learning model, “Deep TabNine,” which significantly improves suggestion quality.
Researchers from Baidu Research, the University of Michigan, and the University of Illinois at Urbana-Champaign have published a method for generating adversarial objects that can befuddle the LiDAR point cloud and compromise security in vehicles using the tech.
Citadel Chief AI Officer Li Deng has been named a Fellow of the Canadian Academy of Engineering (CAE) in recognition of his notable achievements in deep learning and speech recognition.
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.
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 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.
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.”
Under CEO Satya Nadella, Microsoft has made it a priority to develop international partnerships, and the world’s largest software company is now expanding its presence across the great continent of Africa.
Automated machine learning (AutoML) is a hot topic in artificial intelligence. Researchers from German digital and software company USU Software AG and the University of Stuttgart recently published a review paper summarizing the latest academic and industrial developments in AutoML.
Google has achieved a milestone in machine learning research that will boost the company’s broader ambitions in healthcare. In a paper published today in Nature Medicine, Google researchers present an end-to-end deep learning model that can predict lung cancer comparably or better than human radiologists.
Google has released its updated open-source image dataset Open Image V5 and announced the second Open Images Challenge for this autumn’s 2019 International Conference on Computer Vision (ICCV 2019).
Synced Global AI Weekly May 19th
About 15 percent of the world population — over one billion people — have some type of disability, according to the World Health Organization. Some 200 million of these experience considerable difficulties in work and public environments.
The annual meeting of the Association for Computational Linguistics (ACL) is world-leading conference in the field of natural language processing, Yesterday, conference organizers sent out author notifications on accepted papers for the 57th ACL gathering, which will take place in Florence, Italy from July 28 to August 2.
n the new paper Adversarial Examples Are Not Bugs, They Are Features, a group of MIT researchers propose that adversarial examples’ effectiveness can be attributed to non-robustness: “Adversarial vulnerability is a direct result of our models’ sensitivity to well-generalizing features in the data.”
Google AI yesterday released its latest research result in speech-to-speech translation, the futuristic-sounding “Translatotron.”