2016年职称英语理工类概括大意备考练习.docVIP

2016年职称英语理工类概括大意备考练习 First Image-recognitions software 　　1) Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before. 　　2)The new system, which was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm(运算法则)for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel(像素)data in images and potentially video—rather than just text—to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned(收集)from those results can then be applied to other photos without tags or captions(图片说明),making for more accurate document search results. 　　3)“Over the last 30 years,” says Associate Professor Korenzo Torresani, a co-author of the study,” the web has evolved from a small collection of mostly text documents to a modern, massive, fast-growing multimedia datastet, where nearly every page includes multiple pictures of videos. When a person looks at a Web page, he immediately get the gist(主旨)of it by looking at the pictures in it. Yet, surprisingly, all existing popular search engine, such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Wed pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search.” 　　4)The researchers designed and tested a machine vision system—a type of artificialintelligence that allows computers to learn without being explicitly programmed— that extracts semantic(语义的)information from pixels of photos in Web pages. This informationg is used to enrich the description of