AI Technology & Industry Review
Global AI Industry updates.
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.
California artificial intelligence startup Cerebras Systems yesterday introduced its Cerebras Wafer Scale Engine (WSE), the world’s largest-ever chip built for neural network processing.
Synced Global AI Weekly August 18th
While management teams and consultants may spout trendy tech terms such as “process”, “automated”, or “smart”, and seem keen to hand over precisely-timed, measured tasks to machines, the truth is that AI tech is not a panacea — because manufacturing is hard.
This article looks at three Japanese cases where AI is being applied either in large-scale aquaculture or to improve yields in traditional capture fishing.
China’s largest game-maker Tencent recently took a huge leap when its homegrown AI system Wukong AI (绝悟) trounced a human pro team in China’s most popular mobile game Honor of Kings (王者荣耀), aka Arena of Valor.
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.
Researchers at the Seattle Allen Institute for Artificial Intelligence (AI2) have proposed a Green AI initiative designed to make future AI research more energy efficient.
A hot topic today is Intelligent Pilot Systems, an automotive driving concept comprising a smart vehicle assistant that enables a user to interact with the vehicle via voice; and intelligent mechanized function control for car entertainment, safety, autonomous driving and navigation.
The wait is over. This morning Huawei released its first 5G phone, the Mate 20 X 5G, in China. The phone was launched earlier this year in Switzerland and several other countries.
With recent developments in artificial intelligence and automation in machines, robots are advancing into previously unexplored industries such as music and entertainment.
Estimates peg the total number of academic papers and other scholarly literature indexed on the Google Scholar at almost 400 million, making it the world’s largest such database.
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.
Although natural language processing (NLP) has been around for decades, the recent and rapid rise of deep learning algorithms together with the increasing availability of massive amounts of text data are creating new and appealing opportunities for the tech across many industry sectors, including in the investment world.
Artificial intelligence is having a revolutionary effect on industrial production. In the following article, Baidu Ventures Partner and Founder of Comet Labs Saman Farid shares his thoughts on recent changes and future trends in Machine learning-driven production philosophies and technologies.