AI Technology & Industry Review
An R&D team from Japanese multinational conglomerate Hitachi has proposed a similar, sound-based technique for identifying malfunctioning industrial robots on a factory floor.
Google today announced the final release of TensorFlow 2.0. This follows the platform’s alpha release at the TensorFlow Dev Summit in June.
A multi-institute research group recently released the paper PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer, which proposes a novel method for transferring makeup styles from a reference picture to a user’s source image.
Synced Global AI Weekly September 29th
In an attempt to unlock the science behind hugs, a team of researchers from Arizona State University slapped wearable sensors on 33 humans and collected data on their more than 350 huggings with the humanoid remote-controlled robot “Baxter.”
Google’s new “ALBERT” language model has achieved state-of-the-art results on three popular benchmark tests for natural language understanding (NLU): GLUE, RACE, and SQuAD 2.0.
Chinese news outlet Caixin is reporting that UK-based chip designer ARM confirmed on Wednesday it will continue to license its chip design architecture to Chinese tech giant Huawei and the company’s chip unit HiSilicon Technologies despite a US trade ban.
Hugging Face, a startup specializing in natural language processing, today released a landmark update to their popular Transformers library, offering unprecedented compatibility between two major deep learning frameworks, PyTorch and TensorFlow 2.0.
A team of researchers have proposed a number of “recommendations to data providers, academic publishers, and the ML4H research community in order to promote reproducible research moving forward” in their new paper Reproducibility in Machine Learning for Health.
This summer Google Research extended BERT to video and introduced VideoBERT, a self-supervised learning model that can learn the relationship between videos and texts.
At the Alibaba Cloud (Aliyun) Apsara Conference 2019, Pingtouge unveiled its first AI dedicated processor for cloud-based large-scale AI inferencing. The Hanguang 800 is the first semiconductor product in Alibaba’s 20-year history.
Researchers from Intel AI and University of California at Santa Barbara have introduced a new generative hate speech intervention model, along with two large-scale fully-labeled hate speech datasets collected from Reddit and Gab.
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.
Researchers from Element AI, MILA (Montréal Institute for Learning Algorithms), and Université de Montréal have introduced a powerful transfer language model that can summarize long scientific articles effectively, outperforming traditional seq2seq approaches.
“Adversaries and strategic competitors probably will attempt to use deep fakes or similar machine-learning technologies to create convincing — but false — image, audio, and video files to augment influence campaigns directed against the United States and our allies and partners.”
Synced Global AI Weekly September 22nd
Cosmetic surgery companies are turning to big data, facial recognition, neural networks, adversarial learning and deep learning technologies that can assess the human face and generate outcomes for a specific procedures to guide patients to their best surgical options.
Chinese tech giant Huawei yesterday introduced the latest iteration of its flagship smartphone: Mate 30, Mate 30 Pro and Mate 30 Pro (5G).
At last week’s Re•Work AI in Finance Conference in New York, researchers and engineers from banks and academia alike shared their thoughts on current AI research and applications in the finance world.
The Re•Work AI in Insurance Summit in New York City was held September 5-6 and saw 60 speakers from insurance-related companies cover a wide range of topics — from detecting claims fraud to applying machine learning to underwriting and maximizing revenue.
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.
A new Adobe-developed AI tool significantly lowers the threshold for producing dynamic images with a framework that synthesizes a “3D Ken Burns effect” from a single image.
A new paper from San Francisco-based OpenAI proposes training models in the children’s game of hide-and-seek and pitting them against each other.
A team of researchers from the Norwegian University of Science and Technology recently proposed a new architecture that can anonymize faces in images automatically while the original data distribution remains uninterrupted.
Synced Global AI Weekly September 15th
Since the business mindset is to focus on short-term feasible technologies, the lack of serious buyers is the real problem for the LiDAR industry.
Based on users’ votes, IEEE Spectrum also compiles rankings of today’s Top Rated, Most Wanted, and Creepiest Robots. Join Synced as we take a stroll through the uncanny valley and meet the world’s top-three creepiest robots.
Now a group of researchers from the Seattle-based Allen Institute for Artificial Intelligence (AI2) have shown how trigger words and phrases can “inflict targeted errors” on natural language processing (NLP) model outputs, prompting them to generate racist and hostile content.
For an AI system to acquire knowledge the way humans generally do it would need to interact with its surroundings and extract information through its own attention and analysis choices. That’s the idea behind a new paper from Microsoft Research, Polytechnique Montreal, MILA and and the University of Montreal.
“A13 Bionic is the fastest chip ever in a smartphone, that quickly handles the tasks that matter most to people every day,” boasted Apple Senior Vice President of Worldwide Marketing Phil Schiller this morning at the Apple’s annual product conference in Cupertino, California.
A team of researchers from the Chinese gaming giant NetEase have developed a method to automatically create players’ in-game characters from a standard portrait photo.
In an official statement released today on python.org, the volunteer team that manages the programming language announced they will sunset Python 2 on January 1, 2020.
China’s goal of becoming the world’s leading AI innovation center by 2030 is based on an ambitious blueprint that encourages individual cities to develop and strengthen AI ecosystems.
Synced Global AI Weekly September 8th
More and more social apps are now leveraging AI technologies such as machine learning, deep neural networks and facial recognition to enable users to create highly-individualized emojis from selfies and photos.
In collaboration with Partnership on AI, Microsoft, and academics from top universities, Facebook today announced the Deepfake Detection Challenge (DFDC) with the aim of finding innovative deepfake detection solutions to help the media industry spot videos that have been morphed by AI models.
Huawei did not disappoint when the IFA 2019 opened this morning, announcing the new Kirin 990 5G, whose built-in 5G modem makes it the world’s first-ever 5G flagship chipset.
A group of Chinese researchers have come up with a novel method for identifying mirrors in images which outperforms state-of-the-art detection and segmentation methods on targeted baselines.
A group of MIT researchers (Han Cai, Chuang Gan and Song Han) have introduced a “Once for All” (OFA) network that achieves the same or better level accuracy as state-of-the-art AutoML methods on ImageNet, with a significant speedup in training time.
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.