World Environment Day is an event annually held on June 5th to raise global awareness about the need to take positive environmental action. It is run by the United Nations Environment Programme. 世界环境日是联合国环境规划署于1972年设立的,旨在提高全球公众对环境问题的认识,并促进全球环境保护行动。每...
Every year, on June 5, the whole world comes together to celebrateWorld Environment Day. This year marks World Environment Day’s 50th anniversary. This day is the largest global platform for environmental public outreach an...
一、 (2023 ·原创)阅读理解。What did you do for our planet on World Environment Day(June 5)? Did you try to reduce waste by collecting recyclable items? Did you help raise awareness of protecting the environment?Su, a vlogger on the Internet, does these things on a daily basis. For ...
Bronwen Smith-Thomas, Co-director at The Climate Coalition, previously told Sky News that participating in Earth Day is "a great way for people who are worried about climate change and the state of our natural world to take meaningful action". "The important thing for this Earth Day,...
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根据文中 “World Cleanup Day is on September 20 since 2024.” 可知,自 2024 年起,世界清洁日是在 9 月 20 日。答案是 B。从文中 “World Cleanup Day in 2023 brought together 19.1 million volunteers in 198 countries and areas.” 能得出,2023 年世界清洁日聚集了 1910 万志愿者。答案是 B。依...
III. What is World Environment Day? World Environment Day was establis……【查看更多】 题目列表(包括答案和解析) 根据短文内容,从短文后的选项中选出能填入空白处的最佳选项。选项中有两项为多余选项。 What is the E-mail? __71__ You can send messages in only a few seconds by email. ...
For example, we know a German shepherd is a dog, which is a mammal; all mammals are warm-blooded; therefore, a German shepherd should be warm-blooded. The main problem with symbolic AI is that humans still need to manually encode their knowledge of the world into the symbolic AI system,...
Environment, health and safety (EHS) is a multidisciplinary field that focuses on the protection of human health and the environment.
Consequently, anyone looking to use machine learning in real-world production systems needs to factor ethics into their AI training processes and strive to avoid unwanted bias. This is especially important for AI algorithms that lack transparency, such as complex neural networks used in deep learning...