沃森与认知计算时代

G. Banavar
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引用次数: 12

摘要

在过去的十年中,大量新数据的可用性,以及新的机器学习技术的发展,已经增强了推理系统,从而产生了一类新的计算系统。这些“认知系统”从数据中学习,从模型中推理,并与我们自然互动,以执行比人类或机器本身更好的复杂任务。从本质上讲,认知系统通过穿透大数据的复杂性和利用模型的力量,帮助我们表现得最好。最早的认知系统之一,叫做沃森,通过Jeopardy!它能够像世界冠军一样有效地回答复杂的假设性问题。后续认知系统执行其他任务,如在各种领域(如医疗保健、保险和教育)中的发现、推理和多模态理解。我们相信这样的认知系统将改变每一个行业,让我们的日常生活变得更好。在这次演讲中,我将概述认知系统的应用、潜在能力和一些关键挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Watson and the Era of Cognitive Computing
In the last decade, the availability of massive amounts of new data, and the development of new machine learning technologies, have augmented reasoning systems to give rise to a new class of computing systems. These "Cognitive Systems" learn from data, reason from models, and interact naturally with us, to perform complex tasks better than either humans or machines can do by themselves. In essence, cognitive systems help us perform like the best by penetrating the complexity of big data and leverage the power of models. One of the first cognitive systems, called Watson, demonstrated through a Jeopardy! exhibition match, that it was capable of answering complex factoid questions as effectively as the world's champions. Follow-on cognitive systems perform other tasks, such as discovery, reasoning, and multi-modal understanding in a variety of domains, such as healthcare, insurance, and education. We believe such cognitive systems will transform every industry and our everyday life for the better. In this talk, I will give an overview of the applications, the underlying capabilities, and some of the key challenges, of cognitive systems.
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