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CRU: China Plans to Come from Behind to Win the Global Battery Recycling Industry, Thanks to New Policies

China plans to come from behind to win the global battery recycling industry, thanks to new policies
Vlad Poptamas

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Lithium-ion battery (LIB) recycling is hardly new in the developed world, with notable industry players and well-established regulations in place to process the countless 3-cell batteries reaching the scrap-heap each day from portable electronics.

However, the lack of explicit regulations (EU excluded) and integral recycling networks for the nascent secondary market of electric vehicle (xEV) batteries means that the playing field has once again been levelled; and China is positioning itself to capitalize on the opportunity.

Are proper regulations in place in China?

China is the world’s largest consumer of xEVs, representing 30% of global sales in 2018, and this share is expected to double by 2030. In a previous Insight, CRU showed that a vast quantity of used LIB will enter the scrap pool during this timeframe, causing severe pollution if not treated properly. Against this backdrop, the Chinese government has begun to implement a series of regulations aimed at promoting construction of an end-of-life vehicle (ELV) battery recycling industry that is environmentally-friendly, resource-saving and economically-beneficial.

The first regulation mentioning ELV battery recycling was issued by the General Office of the State Council in 2012. The regulation requires the construction of a recycling system, clarifies the rights, roles and responsibilities of each party, and provides guidance on recycling and second-life options. More explicit and detailed regulations were issued in the following years, providing further detail and clarity on responsibilities. They also intended to show: how to trace xEV batteries through their life cycle; how to establish an efficient recycling system; and how to maximize utilization of the residual value of ELV batteries.

Artificial Intelligence

Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025

GlobeNewswire

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New York, July 01, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025” – https://www.reportlinker.com/p05916824/?utm_source=GNWClare: clare@reportlinker.com
US: (339)-368-6001
Intl: +1 339-368-6001

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Artificial Intelligence

ABQQ Announces Plan of Opening its North America Operation Offices in NYC in October 2020

GlobeNewswire

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HONG KONG and NEW YORK, July 01, 2020 (GLOBE NEWSWIRE) — AB International Group Corp. (OTCQB: ABQQ), an intellectual property (IP) and movie investment and licensing firm announces its North America operation offices will be opening in October 2020. The North America operation office will be located in New York City, and will be headed by the Chief Investment Officer, who will be recruited in NYC. The office will be operating the company’s main business: acquisitions in IP and film copyrights; also planning to provide TV dramas and films to broadcast on video streaming websites worldwide, starting December 2020.
About AB International Group Corp. 
AB International Group Corp. is an intellectual property (IP) and movie investment and licensing firm, focused on acquisitions and development of various intellectual property. We are engaged to acquisition and distribution of movies. The Company has a Patent License to a video synthesis and release system for mobile communications equipment, in which the technology is the subject of a utility model patent in the People’s Republic of China. We had launched a business application through smartphones and official social media accounts based on WeChat platform in February 2019, utilizing Artificial Intelligence, it is a matching platform for performers, advertiser merchants, and owners for more efficient services. It generates revenues through an agency service fee from each matched performance.

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Artificial Intelligence

LSU CS Professor Studies COVID-19 Disparities on Social Media

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BATON ROUGE, La., July 01, 2020 (GLOBE NEWSWIRE) — During the COVID-19 pandemic, a plethora of information has gone out from various news sources about how the virus is being tracked, how it is spread, how many cases exist, and so forth. The problem is much of this vital information can be inaccurate, leaving people to ignore advice from public officials. For this reason, LSU Computer Science and Engineering Assistant Professor Kisung Lee and LSU Environmental Sciences Professor Nina Lam are evaluating how a population reacts to multiple sources of information, hoping to eliminate disparities in the messaging.“Studying different COVID-19 responses to trustworthy information will contribute new perspectives and improve our fundamental understanding of the human aspects of information trustworthiness during a pandemic,” Lee said.Lee, principal investigator on the project, and Lam recently received a $200,000 grant from the National Science Foundation for the project and will have University of Washington Center for Studies in Demography & Ecology Director Sara Curran and Cybersecurity Research Fellow Jessica Beyer work alongside them.Lee will collect and analyze Twitter and linked media data using artificial intelligence-based techniques; Lam will map the data into administrative regions and analyze the data geographically (state- and county-level comparisons); and Curran and Beyer will collect policy and media source trustworthiness data and analyze it with other contextual information, such as media framing. Data will be collected and analyzed in Louisiana and Washington.They will collect three waves of Twitter and associated data to compare sentiment and language use patterns among users and analyze how these characteristics evolve through the recognition of the emergency, the peak of the crisis, and the mitigation of the pandemic in the U.S. The tweets and entities will be classified for relevance (individual, organization, or bot) with derived age and location. The tweets will be associated with daily disease-specific rates and annual demographic and socio-economic information.“Data about the surrounding information context, including reporting trends and framing of the crisis, sources of health information, and information-seeking behavior about COVID-19, will provide tools for assessing the validity and reliability of our inferences about the patterns of sentiment and language use,” Lee said. “This project will provide insight for targeting effective public messaging by public health and government officials during a crisis and ultimately improve disaster resilience.”Like us on Facebook (@lsuengineering) or follow us on Twitter and Instagram (@lsuengineering).​Josh Duplechain
LSU College of Engineering
225-578-5706
josh@lsu.edu

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