AI Technology & Industry Review
Global AI Industry updates.
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.
Featuring 100+ models, new mobile inference engine, and frameworks for graph & federated learning
Microsoft Executive Vice President Harry Shum (Shen Xiangyang), the head of Microsoft AI and Research, will leave the tech giant in early 2020.
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.
China’s National Post Bureau forecasts some 2.8 billion parcels will be shipped between November 11-18th. While robots will do much of the heavy lifting, an average human warehouse worker will cover 42 kilometers per day, equivalent to a full, sweaty marathon.
Synced Global AI Weekly November 10th
As global AI development and deployment continues, the demand for AI talents is growing faster than ever. A number of industry leaders and reputable institutions offer AI residency programs designed to help nurture promising AI talents.
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.
Alibaba’s chip subsidiary Pingtouge (平头哥) has become the first Chinese company to open-source its Microcontroller (MCU) design platform.
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.
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.
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.”
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.
The latest version, PyTorch 1.3, includes PyTorch Mobile, quantization, and Google Cloud TPU support. The release was announced today at the PyTorch Developer Conference in San Francisco.
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.
The US chip giant now appears to be exploring the terrain beyond GPU architecture, raising the stakes on other dedicated electronic circuits.
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.
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.
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.
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.
“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.
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.
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.
“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.
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.
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.
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.
Artificial intelligence can help companies navigate a global human resource market that is projected to reach US$30 billion by 2025, due in large part to technological proliferation.
Most insiders Synced interviewed agreed that machine learning training methods which require less labeled data — such as weakly supervised learning, few-shot learning and unsupervised learning — are achieving some promising results.
In a recent interview with Synced, Shawe-Taylor spoke on his role at UNESCO, emerging AI trends and the tech’s unseemly side, human-centered AI research, and the progress of AI in Europe.