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AI将以怎样的方式拯救世界?

2017-02-14    来源:the guardian    【      美国外教 在线口语培训

2016年让人工智能出尽风头。当人们还停留在机器人们下下棋,干粗活的印象中时,科学家们已经考虑利用这些机器人拯救世界了!快和普特君科技板块了解一下吧!

The power of AI can address far bigger challenges than helping organise our calendars, order our groceries or play games. In collaboration with AI, people can help to solve some of the world’s most urgent and difficult problems. One of the most fundamental of these is how to stem the ongoing catastrophic loss of biodiversity.
 人工智能的威力可不仅仅能帮助我们管理日程表,打点食品店或者玩游戏,它还能应对更大的挑战。与人工智能合作,人们能够解决世界上的一些最紧急最困难的问题。这之中最重要的是如何遏制持续性的生物多样性灾难性的流失。
 


AI


 There are two resource factors that are currently impeding the pace of progress for living-thing conservation: money and time.
 阻碍生物多样性保护工作的两大问题源泉是钱和时间。
 
 AI and associated technologies have the ability to close this information gap cost-effectively and efficiently. Hardware is increasingly cheap and power-efficient enough to deploy monitoring systems on the ground, on animals, in the sky, and up in space. Early work is proving that algorithms can sift through the massive amounts of data streaming back from these monitoring systems.
  结合其他技术,人工智能能够以省钱而且高效的方式缩短这些信息的鸿沟。硬件越来越便宜,而且进行地面上,在动物身上,在天上以及在太空中的监控的效率足够高。早期的工作证明算法能够从这些监控系统中筛选出大量的回流数据。
 
 In turn, humans and machines can begin to identify the plants, birds, fish, and other species captured by these remotely deployed cameras, microphones, and more – sometimes down to the unique individual. And we’re finding new ways to deploy these technologies every day. For example, Microsoft is working on ways to use organisms such as mosquitos as small, self-powered data collection devices that can help us better understand an ecosystem through the animals they feed on.
反过来,人们和这些监控设备能够开始从这些安置在偏远地区的照相机,电话捕获到的资料中辨认植物,鸟类,鱼类以及其他的物种——有时候还能找到独特的生物。同样,我们现在正在寻找新的办法来每天安置这些设备。例如,微软正在寻找利用像蚊子一样小的生物,自我功能的数据处理设备来通过它们所养育的生物来帮助我们更好地理解生态系统的办法。
 
 Artificial intelligence can help us understand land use patterns as well. Microsoft and others are experimenting with ways to turn high-resolution imagery into land cover maps. These maps provide an unprecedented view of what is where, and how it is changing. This in turn helps governments, organisations and researchers make more informed decisions about when, where and how to most effectively deploy conservation efforts for the greatest impact. And it creates a virtuous cycle of learning, as all of this information can then be fed back into AI systems, making them smarter.
 人工智能还能够帮助我们理解土地使用方式。微软以及其他的公司正在实验将高分辨率的影像转化为地图的方法。这些地图能前所未有的呈现每个地方的样子,以及该地的变化。反过来,这个方法能够帮助政府部门,管理部门以及研究人员对为最有影响力的事件何时,和地以及如何配置最有效的防御措施做出更有见识的决策。同样,由于这些所有的信息之后都能够被反馈到人工智能系统,它也能产生学习的良性循环,让系统变得更聪明。

 
本文翻译为普特英语原创,转载请注明出处。



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