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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Transfer learning and the future of AI

This will be presented in English.

11:1511:55 Friday, April 13, 2018
企业人工智能 (AI in the Enterprise), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Beginner
Secondary topics:  深度学习(Deep Learning), 自然语言与语音技术(Natural Language and Speech Technologies)

必要预备知识 (Prerequisite Knowledge)

A basic understanding of artificial intelligence (useful but not required)

您将学到什么 (What you'll learn)

观众将了解现有的基于人工智能系统的一些陷阱。 他们将了解什么是迁移学习,以及为什么许多领先的自然语言处理专家将其称为AI的下一个前沿。 最后,他们将了解一些实用的商业应用和迁移学习的好处。
Understand the pitfalls of existing AI-based systems, what transfer learning is and why many leading natural language processing experts are hailing it as the next frontier in AI, and some of the practical business applications and benefits of transfer learning

描述 (Description)


Deep learning has transformed AI and how it is applied in the enterprise. However, most deep learning algorithms still lack the ability to understand data and situations that are different from those encountered during training. This becomes a critical issue when companies don’t have vast amounts of training data—or when the real world no longer perfectly reflects the training data. The solution? Transfer learning, the ability for an AI system to take what it has learned in one situation and apply it to new and different situations and domains.

Transfer learning makes powerful systems more reusable and reduces the amount of training data, compute, and professional services needed. But is it ready for business deployment, or is it still emerging technology? How can it used in business today? Join Catherine Havasi to find out, as she explains how transfer learning can be applied to enterprise AI solutions across multiple industries.


迁移学习让强大的系统有更好的复用性,降低了训练数据、计算力和专业知识的需求量。但它已经可以被用于真正的商业应用了吗?或它还只是一个新兴的技术?它如何才能被用于现在的业务里?在本讲演里,Luminoso的CEO和联合创始人Catherine Havasi博士将会介绍迁移学习如何在多个行业中被应用于商业企业的AI解决方案里。

Photo of Dr. Catherine  Havasi

Dr. Catherine Havasi


Catherine Havasi is cofounder and CEO of Luminoso, an AI-based natural language understanding company located in Cambridge, MA. Luminoso’s solutions are based upon nearly a decade of Catherine’s research at the MIT Media Lab on applying natural language processing and machine learning to improve text analytics. As a woman in machine learning (especially embeddings/deep learning), as well as a women tech CEO, she offers a unique (and rare) perspective on the field. Catherine directs the Open Mind Common Sense Project, one of the largest common sense knowledge bases in the world, which she cofounded alongside Marvin Minsky and Push Singh in 1999.