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Which Countries Are Leading The Data Economy? - AI Summary

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The new world order taking shape is likely to be more complex than a simple bi-polar structure, especially since data is being produced at a pace that boggles the mind. For one, we recognize that the digital trace that is generated by computers around the world spans a very wide range of activities, from sending an SMS text message to making a financial transaction. That said, we acknowledge that in the near-term there could be some countries – China being the pre-eminent example – where data-sharing between public and private sector agencies with very little mobility beyond the national borders could violate privacy and openness norms and yet yield a temporary advantage in training algorithms inside a "walled garden." If one were to take the point of view that the biggest and highest impact AI applications are the ones that serve the greatest public purpose, access to data is key. While the U.S. scores well on all three criteria – and this might seem counter-intuitive to prevailing wisdom -- China operates with a handicap if global accessibility of the data is considered essential for creating successful AI applications in the future.


Computer scientists suggest research integrity could be at risk due to AI generated imagery

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A small team of researchers at Xiamen University has expressed alarm at the ease with which bad actors can now generate fake AI imagery for use in research projects. They have published an opinion piece outlining their concerns in the journal Patterns. When researchers publish their work in established journals, they often include photographs to show the results of their work. But now the integrity of such photographs is under assault by certain entities who wish to circumvent standard research protocols. Instead of generating photographs of their actual work, they can instead generate them using artificial-intelligence applications.


Artificial Intelligence Startup CloudWalk Debuts on STAR Market

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CloudWalk, an artificial intelligence enterprise, was officially listed on the Shanghai Sci-Tech Innovation Board (STAR Market) on Friday. During its first day of trading, its share price rose 56% to 24 yuan ($3.58) per share before settling at a closing price of 21.4 yuan and a current market value of 15.85 billion yuan. CloudWalk was born in a laboratory at the Chinese Academy of Sciences. Founder Zhou Xi graduated from the University of Science and Technology of China, and the University of Illinois Urbana-Champaign. In 2011, Zhou returned to China to set up an AI team at the Chinese Academy of Sciences, and in 2015, he founded CloudWalk.


Artificial Intelligence in China

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In the fifth of a series of blogs from our global offices, we provide a overview of key trends in artificial intelligence in China. What is China's strategy for Artificial Intelligence? In March 2021, the Chinese government released the Outline of the 14th Five-Year Plan of the National Economic and Social Development of the People's Republic of China and Vision 2035. This includes more than 50 references to "[artificial] intelligence", reflecting China aims to develop of a new generation of information technology powered by artificial intelligence. Specifically, China intends to drive industry through science and technology projects to develop cutting-edge fundamental theories and algorithms, create specialized chips and build open-source algorithm platforms such as deep learning frameworks.


BGI Releases 1st Panoramic Atlases of Life

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International scientists led by China's BGI•Research released the world's first panoramic spatial atlases of life on May 4, examining the cellular dynamics of organisms at different developmental stages and providing potentially significant new information for disease treatment, development and aging, and an improved understanding of biological evolution. In a series of studies published in Cell Press journals, members of Spatio-Temporal Omics Consortium (STOC), an international scientific consortium, used the spatially resolved transcriptomics technology Stereo-seq to produce spatio-temporal cellular maps of mice, small fruit flies, zebrafish and the Arabidopsis (thale cress) plant. The papers demonstrate how Stereo-seq has achieved a major breakthrough in spatial resolution and panoramic field of view, enabling analysis of the distribution and placement of molecules and cells in situ, and over time. Over 80 scientists from leading universities in 16 countries have so far collaborated as part of STOC focusing on using spatially resolved, cellular resolution omics technologies to map and understand life. It builds on the achievements of single-cell sequencing, elevating it to the next level by enabling scientists to track a cell's precise location and how it interacts with its neighbors.


Baidu beats revenue estimates helped by AI, cloud services

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May 26 (Reuters) - China's search engine giant Baidu Inc surpassed quarterly revenue estimates on Thursday as a resurgence of COVID-19 in China and accompanying restrictions boosted demand for its cloud and artificial intelligence (AI) products. The news drove Baidu's U.S.-listed shares more than 5% up in pre-market trading even as the company cautioned that the second quarter would be more challenging. Revenue for the three months to March 31 rose 1% to 28.41 billion yuan ($4.22 billion), the slowest growth in six quarters, but topped an analysts' average estimate of 27.82 billion, IBES data from Refinitiv showed. It posted a net loss of 885 million yuan, or 2.87 yuan per American Depository Share (ADS), amid an economic downturn and pandemic resurgence in China. A year earlier it had posted a profit of 25.65 billion yuan, or 73.76 yuan per ADS.


AI research lab inspired by computer's internal components

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Construction work is currently underway on a new artificial intelligence research laboratory designed by PLP Architecture. Located in Shanghai, China, the building's overall form is inspired by a computer motherboard and CPU. The Shanghai World Laureates Association Artificial Intelligence Lab is part of a Lingang New Area district in the city that will host research and innovation, which also happens to be where the Ring project by Ennead Architects is being constructed. The building will be situated next to a lake and feature extensive landscaping. Its interior will measure 32,000 sq m (roughly 344,000 sq ft), which will be spread over the two distinct "motherboard" and "CPU" areas.


Automating model parallelism with just one line of code

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Researchers from Google, Amazon Web Services, UC Berkeley, Shanghai Jiao Tong University, Duke University and Carnegie Mellon University have published a paper titled "Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning" at OSDI 2022. The paper introduces a new method for automating the complex process of parallelising a model with only one line of code. So how does Alpa work? Data parallelism is a technique where model weights are duplicated across accelerators while only partitioning and distributing the training data. The dataset is split into'N' parts in data parallelism with'N' being the quantity of GPUs.


Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists' Intelligence?

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Background: Artificial intelligence (AI) now plays a critical role in almost every area of our daily lives and academic disciplines due to the growth of computing power, advances in methods and techniques, and the explosion of the amount of data; medicine is not an exception. Rather than replacing clinicians, AI is augmenting the intelligence of clinicians in diagnosis, prognosis, and treatment decisions. Summary: Kidney disease is a substantial medical and public health burden globally, with both acute kidney injury and chronic kidney disease bringing about high morbidity and mortality as well as a huge economic burden. Even though the existing research and applied works have made certain contributions to more accurate prediction and better understanding of histologic pathology, there is a lot more work to be done and problems to solve. Key Messages: AI applications of diagnostics and prognostics for high-prevalence and high-morbidity types of nephropathy in medical-resource-inadequate areas need special attention; high-volume and high-quality data need to be collected and prepared; a consensus on ethics and safety in the use of AI technologies needs to be built. Artificial intelligence (AI) now plays a critical role in almost every area of our daily lives and academic disciplines; medicine is not an exception.


Researchers use artificial intelligence to predict road user behavior - Actu IA

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For an autonomous car to drive safely, being able to predict the behavior of other road users is essential. A research team at the Massachusetts Institute of Technology's CSAIL, along with researchers at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, have developed a new ML system that could one day help driverless cars predict in real time the upcoming movements of nearby drivers, cyclists and pedestrians. They titled their study, " M2I: From Factored Marginal Path Prediction to Interactive Prediction." Qiao Sun, Junru Gu, Hang Zhao are the IIIS members who participated in this study while Xin Huang and Brian Williams represented MIT. Humans are unpredictable, which makes predicting road user behavior in urban environments de facto very difficult.