新华网北京7月15日电 据美国科技博客Gizmodo报道，微软在一年一度研究院学术峰会上展示了人工智能技术的最新研究成果——一个名为“亚当计划”的应用，可以像亚马逊的Fire手机一样分辨周遭场景。虽然这款应用还处于研发阶段，但前景光明。

　　微软表示，“亚当”高度精确地模仿人脑，高速运转的电脑可以像人类的神经系统一样建立和储存数据。特里苏尔和他的团队开发了这款应用的神经网络。

　　最新的研究集中在“亚当计划”以及其目标分类上，研究人员从网上选取了1400万幅图像，这些图像集根据用户生成的标签又分为2万2千种。

　　这款系统使用的机器比其它同种类系统少30倍，收集的数据被用来训练神经网络，其神经网络由20亿个联接组成。准确度比物体识别高2倍，比其它系统快50倍。

　　虽然这款应用要投入实际使用尚需时日，但“亚当”似乎颇具潜力。微软研究人员为“亚当”的应用提供了可行的构想，比如从一张照片看出一餐饭的营养，诊断皮肤状况，或确认野外的植物是否可食用。

　　译者：王俊景

　　百度新闻与新华网国际频道合作稿件，转载请注明出处。

　　Microsoft's AI Is On Its Way to Identifying the Whole World

　 　This morning at the annual Research Faculty Summit, Microsoft showed off a pretty impressive advancement in its AI tech. An app, entitled Project Adam, is poised to identify all of its surroundings just like a Fire Phone without the merch hooks. The app is still in development but shows promising results.

　　Microsoft says Adam has been meticulously calibrated by researchers to mimic a human brain, creating a high performance computer that builds and stores data in a large scale distribution system that works like our neural processes. Trishul Chilimbi and his team have been developing the app's neural network:

　 　Recent research focuses on Project Adam and its object classification, culling a massive dataset of 14 million images from the Web and sites such as Flickr, made up of more than 22,000 categories drawn from user-generated tags.

　　Using 30 times fewer machines than other systems, that data was used to train a neural network made up of more than two billion connections. This scalable infrastructure is twice more accurate in its object recognition and 50 times faster than other systems.

　　While still in its infancy and far from commercial release, Adam looks like it has serious potential. Microsoft researchers are proposing useful applications of Adam such as ascertaining a meal's entire nutritional contents from a single photo, or correctly diagnosing a skin condition or edible plants that could be found in the wild.