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Modeling in Drug Metabolism for Drug Discovery and Development

机译:药物代谢模拟药物发现与发展

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You wake up in the morning. Amazon Alexa tells you that today is mostly cloudy but will rain at noon. She also reminds you to take your daily medications and to wish your sister happy birthday. You scroll through your Facebook feed and an ad appears that tells you a restaurant is now serving your favorite gingerbread pancakes. You start your car engine, and as you being to drive to work, Google Maps tells you an alternative route should save you 20 minutes. You arrive at your office and your boss asks you to shop for a 3D printer for a "delicious" project, printing real cakes. You find a good-ranking model at Amazon, which also automatically recommends all of the cake-printing supplies you need. This type of thing is happening every day to most of us. It is artificial intelligence (Al), or at least, the start of an Al era. Alexa, or Apple's Siri, uses speech recognition designed to understand a user's request and return a response. Facebook's Al knows who you are from photos and videos you've uploaded and conversations with friends, and decides which news feeds, friend recommendations, and ads you receive. By definition, artificial intelligence is a computer-aided modeling process that solves cognitive problems such as learning and pattern recognition, which are aspects of human intelligence.
机译:你早上醒来。亚马逊亚历克萨告诉你,今天大多是多云,而是中午下雨。她还提醒你,每日药物,祝你的妹妹生日快乐。您浏览了您的Facebook饲料,并似乎展示了一张餐厅,现在为您服务的姜饼煎饼提供服务。您启动您的汽车发动机,并在您开车上班时,谷歌地图告诉您替代路线应该为您节省20分钟。您到达您的办公室,您的老板要求您为“美味”项目,打印真正的蛋糕购物3D打印机。您在亚马逊中找到了一个良名的模式,它也会自动推荐您需要的所有蛋糕印刷耗材。这种类型的东西每天都在我们大多数人身上发生。这是人工智能(Al),或者至少是AL时代的开始。 Alexa或Apple的Siri使用旨在了解用户请求并返回响应的语音识别。 Facebook的AL知道您来自您上传的照片和视频以及与朋友进行对话,并决定您收到的新闻源,朋友建议和广告。根据定义,人工智能是一种计算机辅助建模过程,解决了学习和模式识别等认知问题,这是人类智能的方面。

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