AI Technology & Industry Review
In an effort to benchmark deep learning on smartphones in the Android ecosystem, researchers from the ETH Zurich Computer Vision Lab last year developed an AI Benchmark application to measure the AI readiness of more than 200 Android devices and 100 mobile SoCs collected in the wild.
Synced Global AI Weekly November 17th
Synced surveyed last week’s crop of machine learning papers and identified seven that we believe may be of special interest to our readers.
The new Intel products strengthen the company’s growing portfolio of AI solutions, which is expected to generate more than US$3.5 billion in revenue in 2019.
The Synced Machine Intelligence Awards 2019 focus is “the power of industry” and the selection process will key in on AI companies’ products, application cases and industry landings — with the most noteworthy companies chosen based on real and objective industry performance.
A team of researchers from Texas A&M University and Canada’s Simon Fraser University have open-sourced a toolkit called “RLCard” for applying RL research to card games.
The message from Microsoft is clear: the company is investing in knowledge, which it believes will become one of the most important assets of any organization.
Exciting new research from Duke University introduces ProtoPNet, a deep learning network that can explain how it distinguishes a pigeon from a partridge in real time.
In a blog post today OpenAI today announced the final staged release of its 1.5 billion parameter language model GPT-2, along with all associated code and model weights.
Recognizing faces is as natural and habitual as can be for human beings. But what actually happens inside our brains during the process of recognizing a face? Can artificial intelligence learn to recognize faces the way humans do?
Synced Global AI Weekly November 3rd
The market opportunities for IIoT are massive. Markets & Markets reports the global IIoT market is expected to grow at a CAGR of 7.39 percent to reach US$91.4 billion by 2023, with the manufacturing industry holding the largest market share.
Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection.
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.
Now, a group of NLP researchers and enthusiasts, including graduates from Tsinghua University, Peking University, and Zhejiang University, have introduced ChineseGLUE, a benchmark designed to encourage the development and assessment of Chinese language models.
ICCV 2019 received 4,303 papers — more than twice the number submitted to ICCV 2017 — and accepted 1,075, for a reception rate of roughly 25 percent.
A new paper from researchers at the University of Bristol, Telecomm ParisTech and Sorbonne University introduces a multi-layer, silicone “SkinOn” membrane that mimics the layers of human skin.
In a new paper, researchers from the University of Texas at San Antonio (UTSA) design and implement attacks that leverage characteristics of the light emitted by modern smart bulbs to “steal” users’ private data and preferences from other nearby devices.
Synced Global AI Weekly October 27th
After running the industrial robot operating system startup “Cobot” for three years, founder Miao Li has decided to axe 98 percent of the company’s “fancy services” and just focus on drug logistics and sorting mushrooms.
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.
The MIT researchers’ novel method can speed up the grasp-planning process from more than 10 minutes to less than a second.
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.
The recent rapid development of pretrained language models has produced significant performance improvements on downstream NLP tasks.
Image recognition technology in particular has come to play a valuable role in wildlife conservation, where endangered species are tallied and tracked so their numbers and migrations can be more accurately measured and understood.
Purging your favourite photos or videos of an unsightly trash pile, a parked car or even an ex-partner has never been easier, thanks to the rapid progress of AI models designed for such tasks.
Machine learning research resource Papers with Code last week introduced Sotabench, a free and open website created to benchmark and rate the performance of state-of-the-art open source models from GitHub.
A team of researchers has proposed a Generative Adversarial Network based model tasked with creating playable and aesthetically appealing game levels for popular action-adventure video game series The Legend of Zelda.
Do you have two left feet? Do you avoid the dance floor out of fear of embarrassment? If you’ve ever secretly wished you could move your body like Joaquín Cortés — well, at least in a video — a new AI-powered 3D body mesh recovery module called Liquid Warping GAN can give you a leg up.
Synced Global AI Weekly October 13rd
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.
Inspired by OpenCV, Kornia is based on PyTorch and designed to solve generic computer vision problems.
Although the term “open source” conveys sentiments such as research sharing and community building, leading semiconductor IP provider Arm, which supports 95 percent of smartphone embedded processors, is not a fan.
For better or worse, AI can now figure out what you’re doing even without “seeing” you. The MIT Computer Science & AI Lab (CSAIL) has unveiled a neural network model that can detect human actions through walls or in extremely dark places.
In the paper ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer, a team of researchers from Peking University and Tsinghua University propose an end-to-end GAN-based architecture that can transfer input photos into the style of Chinese ink wash paintings.
Researchers from the Huazhong University of Science and Technology and Huawei Noah’s Ark Lab have introduced TinyBERT, a smaller and faster version of Google’s popular large-scale pre-trained language processing model BERT.
Synced Global AI Weekly October 6th
Figures from nonprofit organization Mental Health America show the severe depression rate for US youth increased from 5.9 to 8.2 percent over the last five years. The numbers provide a sobering glimpse of the shortcomings in mental health care, and some researchers are suggesting AI might be able to address the problem.