AI Technology & Industry Review
Rather than attempting to defend convolutional networks against them, the researchers introduce a novel enhanced adversarial training scheme, AdvProp, which treats adversarial examples as additional training examples to improve the accuracy of image classification models.
Synced Global AI Weekly November 17th
Synced invited Samuel R. Bowman, an Assistant Professor at New York University who works on artificial neural network models for natural language understanding, to share his thoughts on the “Text-to-Text Transfer Transformer” (T5) framework.
Synced invited Graham Neubig, an Assistant Professor from Carnegie Mellon University to share his thoughts on Google’s universal neural machine translation (NMT) system trained on over 25 billion examples that can handle 103 languages proposed.
Synced Global AI Weekly October 27th
In what the company calls “the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search,” Google today announced that it has leveraged its pretrained language model BERT to dramatically improve the understanding of search queries.
Google’s latest contribution came last week with “Tiny Video Networks (TVN),” a new method for reducing the runtime of neural networks when analyzing videos that is significantly faster than existing models.
With deep learning emerging as something of a panacea in the world of science, AI researchers and seismologists alike are leveraging the tech in pursuit of better aftershock forecast solutions.
Google today announced the final release of TensorFlow 2.0. This follows the platform’s alpha release at the TensorFlow Dev Summit in June.
Synced Global AI Weekly September 29th
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.
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.
Synced Global AI Weekly July 14th
Forerunners Google and NVIDIA announced today that they have set new AI training time records on the MLPerf benchmark competition.
A Reddit post has triggered discussions regarding a patent Google filed on Dropout supposedly becoming active last week.
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.
Architecture and weights are two essential considerations for artificial neural networks. Architecture is akin to the innate human brain, and contains the neural network’s initial settings such as hyperparameters, layers, node connections (or wiring), etc.
The 36th International Conference on Machine Learning (ICML) kicked off Monday in California. The ICML is one of the world’s two top conferences in ML and AI (the other being NeurIPS).
A favourite is the collaborative card game Hanabi, which won the 2013 Spiel des Jahres and 2013 Fairplay À la Carte Award. The game has now drawn the attention of AI researchers.
Google today announced the release of the Beta version of TensorFlow 2.0. The new version of the world’s most popular open source machine learning library is being welcomed by developers.
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.
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).
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.
DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects.
Although machine learning has achieved huge advances in speech recognition, gaming and many other applications, some critics still regard it as little more than glorified “curve fitting” that lacks high-level cognitive abilities and reasoning skills.
Synced Global AI Weekly May 5th
Designing accurate and efficient CNNs for mobile devices is challenging due to the large design space and expensive computational methods. Although many mobile CNNs are available for developers to train and deploy to mobile devices, existing CNN architecture may not be able to achieve the best results for some tasks on mobile devices.
Google today announced the release of a new and improved landmark recognition dataset. Google-Landmarks-v2 includes over 5 million images, doubling the number in the landmark recognition dataset the tech giant released last year. The dataset now covers more than 200 thousand different landmarks, a seven times increase over the first version.
10 AI News You Must Know from April W 1 – W 2
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.
Synced Global AI Weekly April 7th
Ian Goodfellow — the research scientist who pioneered generative adversarial networks (GANs) — has left Google Brain and joined Apple to direct a special machine learning project, according to his Linkedln profile updated today and CNBC.
Synced Global AI Weekly March 31st
Business models that leverage location data from mobile devices are part of a growing, multi-billion dollar market. Where you are matters much more than you might think.
Robots pitching politics, charities, sales, surveys, and scams of every stripe and in every tongue. Increasingly that’s the voice on the other end of a global citizen’s next incoming telephone call.
Snorkel Drybell, an experimental internal system which leverages the open-sourced Snorkel framework to harness various existing organizational knowledge resources and generate training data for web-scale machine learning models.
Baidu has released ERNIE (Enhanced Representation through kNowledge IntEgration), a new knowledge integration language representation model which outperforms Google’s state-of-the-art BERT (Bidirectional Encoder Representations from Transformers) in Chinese language tasks.
While there is nothing wrong with viewing autonomous driving as an emerging sector in the car manufacturing industry, big tech companies are also playing a central role, and have been making huge investments in automotive technologies.
10 AI News You Must Know From March W1 – W2