chine

"Violates what is most sacred": X-ray of the initiative that allowed banks to charge themselves Chinese wages

Jorge Sales Boyoli weighs in on a reform that was almost passed in Mexico, which “violates the most sacred thing that a worker has: his salary.” 

El Heraldo de Mexico

View




chine

ETSI releases a Technical Report on autonomic network management and control applying machine learning and other AI algorithms

ETSI releases a Technical Report on autonomic network management and control applying machine learning and other AI algorithms

Sophia Antipolis, 5 March 2020

The ETSI Technical Committee on Core Network and Interoperability Testing (TC INT) has just released a Technical Report, ETSI TR 103 626, providing a mapping of architectural components for autonomic networking, cognitive networking and self-management. This architecture will serve the self-managing Future Internet.

The ETSI TR 103 626 provides a mapping of architectural components developed in the European Commission (EC) WiSHFUL and ORCA Projects, using the ETSI Generic Autonomic Networking Architecture (GANA) model.

The objective is to illustrate how the ETSI GANA model specified in the ETSI specification TS 103 195-2 can be implemented when using the components developed in these two projects. The Report also shows how the WiSHFUL architecture augmented with virtualization and hardware acceleration techniques can implement the GANA model. This will guide implementers of autonomics components for autonomic networks in their optimization of their GANA implementations.

The TR addresses autonomic decision-making and associated control-loops in wireless network architectures and their associated management and control architectures. The mapping of the architecture also illustrates how to implement self-management functionality in the GANA model for wireless networks, taking into consideration another Report ETSI TR 103 495, where GANA cognitive algorithms for autonomics, such as machine learning and other AI algorithms, can be applied.




chine

Innovations of targeted poverty reduction governance and policy in Zhejiang Province: Insights from China’s post-2020 anti-poverty strategy [in Chinese]




chine

Reflections on rural revitalization from a global perspective [in Chinese]




chine

The impacts of COVID-19 on global food security and the coping strategy [in Chinese]

Article PDF (download)




chine

Study on countermeasures of Agriculture against Economic and Trade Frictions between China and USA [in Chinese]




chine

Nutrition and economic development: Exploring Egypt's exceptionalism and the role of food subsidies [in Chinese]




chine

2021 Global food policy report: Transforming food systems after COVID-19: Synopsis [in Chinese]

2020年在诸多方面都让我们始料未及。新冠肺炎(COVID-19)疫情为全球带来了一场大规模的公共卫生灾难,各国均陷入了疫情及其相关应对政策带来的不同程度的经济困境,面临服务严重中断和人员流动严重受限的局面。无论是富裕国家还是贫穷国家,均未能幸免。在中低收入国家,许多弱势群体直接面临食物安全、医疗和营养方面的威胁。丧失生计、营养不良、教育中断和资源枯竭造成的长期影响可能性非常巨大,特别是对许多国家来说,距离新冠肺炎疫情的结束还遥遥无期。此外,疫情还凸显并加剧了我们食物系统的薄弱环节和不平等状况。一年过去了,全球因新冠肺炎疫情而进一步偏离了到2030年实现可持续发展目标(SDG)的进程。显然,食物系统可以在推动我们走上正轨方面发挥核心作用。要想实现可持续发展目标,就必须对食物系统进行转型,帮助我们更好地为下一次冲击做好准备,同时造福世界贫困人口和弱势群体以及我们的地球。




chine

2022 Global food policy report: Climate change and food systems: Synopsis [in Chinese]

气候变化对全球食物系统构成的威胁日益严重,对食物和营养安全、生计及全人类整体福祉,尤其是对世界各地的贫困人口和弱势群体造成了严峻影响。我们迫切需要对气候变化采取紧急行动,既要实现限制全球变暖所需的大幅度减排,又要提高适应和应对气候变化的能力,这一点正引起全球的广泛关注。《2022全球食物政策报告》提出了一系列加快行动的机会,这些机会应在制定适应、减缓和应对气候变化的政策与投资决策时加以考虑。




chine

Towards 2035: Common Prosperity and Urban-Rural Poverty Management System [in Chinese]

In 2021, General Secretary Xi Jinping solemnly declared that China's poverty alleviation battle has achieved a comprehensive victory. However, there is still a long way to go to solve the problem of unbalanced and insufficient development, narrow the development gap between urban and rural areas, and achieve comprehensive human development and common prosperity for all people.




chine

Integrated urban-rural development and common prosperity: Connotation, international experience and implementation path [in Chinese]

Since the 18th National Congress of the Communist Party of China, China’s economicdevelopment has entered a new stage. Under the circumstances, the goal of “Common Prosperity” has attracted more and more attention over the past several years. China’s long-term implementation of urban-biased policies led to a huge gap between urban and rural areas for a long time and hindered the realization of common prosperity.




chine

Global food policy report 2023: Rethinking food crisis responses: Synopsis [in Chinese]

2022年,世界面临多重危机。旷日持久的2019冠状病毒病疫情(COVID-19)、重大自然灾害、内乱和政治动荡以及气候变化日益严重的影响对食物系统的破坏仍在继续,而与此同时,俄乌战争和通货膨胀加剧了全球粮食和化肥危机。危机数量不断增加,多种危机的叠加影响日益加剧,饥饿人口和流离失所者数量不断攀升,促使人们呼吁重新思考粮食危机应对措施,从而为变革创造了一个真正的机会。

Full Book [download]





chine

AI Podcast 1.0: Rise of the machines

We used to think some jobs were safe from automation. Though machines have transformed industries like agriculture and manufacturing, the conventional wisdom was that they could never perform what's called "knowledge work." That the robots could never replace lawyers or accountants — or journalists, like us.

Well, ever since the release of artificial intelligence tools like ChatGPT, it feels like no job is safe. AI can now write essays, generate computer code, and even pass the bar exam. Will work ever be the same again?

Here at Planet Money, we are launching a new three-part series to understand what this new AI-powered future looks like. Our goal: to get the machines to make an entire Planet Money show.

In this first episode, we try to teach the AI how to write a script for us from scratch. Can the AI do research for us, interview our sources, and then stitch everything together in a creative, entertaining way? We're going to find out just how much of our own jobs we can automate — and what work might soon look like for us all.

(And, in case you're wondering... this text was not written by an AI.)

This episode was produced by Emma Peaslee and Willa Rubin. It was edited by Keith Romer. Maggie Luthar engineered this episode. It was fact-checked by Sierra Juarez. Jess Jiang is Planet Money's acting executive producer.

Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in
Apple Podcasts or at plus.npr.org/planetmoney.

Learn more about sponsor message choices: podcastchoices.com/adchoices

NPR Privacy Policy




chine

AI Podcast 2.0: The host in the machine

In Part 1 of this series, AI proved that it could use real research and real interviews to write an original script for an episode of Planet Money. Our next task was to teach the computer how to sound like us. How to read that script aloud like a Planet Money host.

On today's show, we explore the world of AI-generated voices, which have become so lifelike in recent years that they can credibly imitate specific people. To test the limits of the technology, we attempt to create our own synthetic voice by training a computer on recordings of former Planet Money host Robert Smith. Then we introduce synthetic Robert to his very human namesake.

There are a lot of ethical, and economic, questions raised by a technology that can duplicate anyone's voice. To help us make sense of it all, we seek the advice of an artist who has embraced AI voice clones: the musician Grimes.

This episode was produced by Emma Peaslee and Willa Rubin, with help from Sam Yellowhorse Kesler. It was edited by Keith Romer and fact-checked by Sierra Juarez. Engineering by James Willetts. Jess Jiang is our acting executive producer.

We built a Planet Money AI chat bot. Help us test it out:
Planetmoneybot.com.

Help support Planet Money and get bonus episodes by subscribing to Planet Money+
in Apple Podcasts or at plus.npr.org/planetmoney.

Learn more about sponsor message choices: podcastchoices.com/adchoices

NPR Privacy Policy




chine

World expert on machine learning and genomic medicine to speak at BizSkule

Sunnyvale, CA – Deep learning will transform medicine, but not in the way that many advocates think. Biological complexity, rare mutations and confounding factors work against us, so that even if we sequence 100,000 genomes, it won’t be enough. Brendan Frey is engineering the future of personalized medicine. A professor in the University of Toronto’s Faculty […]




chine

Machine learning meets materials discovery: Researchers from IBM, Toyota, and Citrine Informatics speak at UofT

Toronto, ON –  Machine learning and artificial intelligence are poised to revolutionize the way companies do business in the fields of healthcare, transportation, and materials research. With the launch of the new Vector Institute, Toronto is quickly becoming a hub for machine learning development. Following this momentum is a three-part limited edition CIFAR seminar series, […]




chine

Student Artwork for the Chinese New Year

The Chinese New Year began February 1, 2022! Every year, all Meadow Brook artists collaboratively create a Chinese Dragon to celebrate the new Lunar year. Each student created a part of this great dragon in art class. Zoom in to see each individually drawn dragon scale design! This year’s dragon is led by Principal Shaw […]

The post Student Artwork for the Chinese New Year appeared first on Forest Hills Public Schools.



  • Meadow Brook Elementary News

chine

Yeast Against the Machine: Bakers’ Yeast Could Improve Diagnosis - How our billion-year-old cousin, baker’s yeast, can reveal — more reliably than leading algorithms — whether a genetic mutation is actually harmful.

How our billion-year-old cousin, baker’s yeast, can reveal — more reliably than leading algorithms — whether a genetic mutation is actually harmful.Toronto, ON – It’s easier than ever to sequence our DNA, but doctors still can’t exactly tell from our genomes which diseases might befall us. Professor Fritz Roth is setting out to change this by […]




chine

Are We Raising Kids or Machines?

For someone not in the education industry (word used on purpose), I spend a lot of time thinking about education. Just like work issues, the constant and daily reality of school tends to hit you over the head until you just have to pay attention. The thing on my mind today is how much we force kids to record about their lives. Our schools today encourage and often require kids to monitor and measure ...




chine

Machine Vision for Battery Production 4.0

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.




chine

Advancing Precision: Exploring the Impact of Coordinate Measurement Machines in Industry

We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.




chine

Systems integration for machine vision solutions – Driving application success with current and future technologies

System integration strategies vary by industry and project scale. Success relies on thorough planning and execution, especially in machine vision technology. Here are key integration elements for success with vision technologies.




chine

Integrated, Centrally-Managed Machine Vision for Built-In Quality

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.




chine

Key Considerations When Selecting a Machine Vision Lens

In this article we survey key considerations when making a lens selection. Of course, your lensing professional will be happy to advise – but they’ll ask you some of these questions anyway, so it’s helpful to make notes relative to your planned application.




chine

Machine Vision Technologies Adapt for Higher Speeds, Evolving Needs

The famous quote "Adapt or die" applies to businesses like Kodak and Blockbuster, which missed out on opportunities by not embracing new technologies. This concept also applies to industries like manufacturing and logistics today.




chine

Podcast: Machine Vision — An Engineering Discipline

Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.




chine

Machine Vision Trends for Manufacturing

In the fast-paced and dynamic world of manufacturing, one trend is clear: short-wave infrared (SWIR) imaging and sensing is revolutionizing the industry.




chine

Greater Interoperability through Unified Machine Vision Standards

Industry solutions and products rely on common standards and interfaces, enabling seamless collaboration and increasing efficiency.




chine

The Evolution of Machine Vision in Industrial and Non-Industrial Markets

Machine vision has evolved significantly over the past forty years, and the demand for specialized solutions has increased in recent years. This article will explore current and future imaging requirements.




chine

Machine Vision and the Role of AI in Quality Control

The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.





chine

Machine Vision Project Management – What’s Different?

Machine vision projects often face challenges such as slow progress, difficulty in getting quotes, cost overruns, and unreliable operation. These issues require recognizing and adapting to the unique nature of machine vision projects compared to other types of projects.




chine

Tips on Making Precision Measurements with Machine Vision – Part 1

Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.




chine

Tips on Making Precision Measurements with Machine Vision – Part 2

The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.




chine

The Evolving Mindset of Machine Vision

Initially seen as science fiction, machine vision in manufacturing faced hesitance due to high costs and lack of awareness. However, interest has surged, shifting the focus from "Can it be done?" to "How will we do it?" This reflects significant transformative changes in the industry.




chine

Tips on Making Precision Measurements with Machine Vision – Part 3

The first part of this series covered the basic principles that make high-accuracy measurements possible for machine vision. The second part of the series looked at challenges to accurate measurements due to the application conditions. This third part looks at characteristics and components of the vision system that can limit the achievable accuracy.




chine

Why FPGAs Deserve Your Attention in Machine Vision and Edge AI Applications

As businesses increasingly rely on machine vision to enhance quality, improve productivity, and increase the bottom line, technology providers are relying more on industrial computing solutions that enable faster processing speeds and higher efficiency, or that support new tasks altogether. 




chine

White Paper: Machine Vision, AI & the Cloud are Creating the Scalable, Autonomous Inspection System of the Future

It is impossible to overestimate the critical nature of keen and constant visual inspection in any production process. That’s why an advanced vision system is vital for any of today’s advanced production lines – as well as for “yesterday’s” older and more issue-prone lines. 




chine

German Machine Vision Industry Has Doubled in Last 10 Years

Success of the industry again produces record numbers for VISION 2018.




chine

Hydraulic Universal Testing Machine

When the materials testing application calls for up to 3,000 kN of hydraulic force applied by advanced digital control, Tinius Olsen offers its all-new SL series, replacing the company’s Super L series.




chine

ABB OmniVance Collaborative Machine Tending Cell

ABB has launched its new OmniVance™ Collaborative Machine Tending Cell, providing a complete integrated solution for automated machine tending that is easy to program, install and use.




chine

Mahr MarSurf CD 140 AF Contour Measuring Machine

Mahr Inc. announced a new solution for contour measurement.




chine

Verisurf Software Machine Tool Probing (MTP) Suite

Verisurf Software, Inc. demonstrated its new Machine Tool Probing (MTP) suite at IMTS 2024. 




chine

Exploring the Integration of AI and Machine Learning in AM Aerospace Applications

The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.




chine

The Role of Artificial Intelligence (AI): Machine Learning in Modern Quality Management

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.




chine

Building a Framework for Machine-Learning Compliance in Regulated Industries

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.




chine

Efficient Use of Coordinate Measurement Machines




chine

Achieving Efficiency and Precision: The Role of Universal Shaft Measurement Machines in Modern Manufacturing

The manufacturing industry relies on precision for safety and performance. Shaft measurement instruments are crucial for ensuring the functionality of mechanical systems.




chine

Unlocking the Future of Coordinate Measuring Machines (CMM): Advanced Controllers and Industry Evolution

Coordinate measuring machines (CMMs) play a crucial role in verifying the dimensions of manufactured parts with precision control. CMM controllers are central to coordinating movements and processing data, driving technological advancements in the metrology industry.




chine

Model-Driven Innovation in Machine Design

How virtual prototyping and dynamic load analysis can help reduce machine design costs and get to market faster.