图 书 馆
超越危险！沃森的未来Beyond Jeopardy! The Future of Watson |
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| 课程网址: | http://videolectures.net/turing100_ferrucci_beyond_jeopardy/ |
| 主讲教师: | David Ferrucci |
| 开课单位: | IBM公司 |
| 开课时间: | 2012-07-10 |
| 课程语种: | 英语 |
| 中文简介: |  自从计算机本身问世以来，科学家和作家就已经想到了可以在广泛的人类知识领域直接，准确地理解和回答人们的问题的计算机系统。当知识范围狭窄且程序员期望查询时，很容易创建玩具解决方案。人工智能的真正目标是使机器能够像人类一样流畅和自由地消化语言，而无需手动和明确地为机器明确地形式化知识。能够充分利用人类丰富自然地获取和交流的知识，将有助于明智地进行决策的新纪元，使用户高效，情境感知和精确地访问人类每天自然创造和丰富的巨大知识财富。商业智能，医疗保健，客户支持，社会计算，科学和政府中的应用程序都可以从能够更深入地理解语言的计算机系统中受益。 IBM的DeepQA项目旨在探索和整合自然语言处理（NLP），信息检索（IR），机器学习（ML），知识表示和推理（KR＆R）以及大规模并行计算如何推动科学技术的发展和应用。自动提问和更一般的自然语言理解。挑战中令人兴奋的证明是开发一种计算机系统，该系统可以成功与《绝地求生》中的顶尖人类玩家竞争！测验节目。 |
| 课程简介: | Computer systems that directly and accurately understand and answer people’s questions over a broad domain of human knowledge have been envisioned by scientists and writers since the advent of computers themselves. Toy solutions are easy to create when the knowledge is narrowly bounded and the queries anticipated by the programmers. The real goal for Artificial Intelligence is for the machine to digest language as fluently and freely as humans, eliminating the need to manually and explicitly formalize the knowledge expressly for the machine. Being able to leverage knowledge as it is prolifically and naturally captured and communicated by humans would facilitate a new era in informed decision making, giving users efficient, context-aware and precise access to the enormous wealth of knowledge humans naturally create and enrich every day. Applications in business intelligence, healthcare, customer support, social computing, science and government could all benefit from computer systems capable of deeper language understanding. The DeepQA project at IBM is aimed at exploring how advancing and integrating Natural Language Processing (NLP), Information Retrieval (IR), Machine Learning (ML), Knowledge Representation and Reasoning (KR&R) and massively parallel computation can advance the science and application of automatic Question Answering and more general natural language understanding. An exciting proof-point in this challenge was developing a computer system that could successfully compete against top human players at the Jeopardy! quiz show. |
| 关 键 词: | 计算机系统; 人工智能 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-05-08：zyk |
| 最后编审: | 2021-05-14：yumf |
| 阅读次数: | 34 |