Presented By O’Reilly and Intel AI
Put AI to work
April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Schedule: 自然语言与语音技术(Natural Language and Speech Technologies) sessions

Around 2011 a group of researchers from Microsoft and the University of Toronto created a speech recognition system based on deep learning that vastly outperformed existing systems. That marked the start of a shift towards systems based on neural networks and these days speech researchers and speech products have coalesced around deep learning. Researchers in natural language processing and understanding are also beginning to use deep learning, but other machine learning methods remain important in many commercial products. Because their applications are so widespread, natural language and speech technologies are a strong focus in our conference in Beijing.

Add to your personal schedule
10:0010:15 Thursday, April 12, 2018
Location: 紫金大厅A(Grand Hall A)
Hui Xiong (Baidu)
本议题中我将介绍数据驱动人工智能带来的一些新兴机会和挑战,同时关注深度学习、推荐引擎和数据密集型计算平台的趋势,以及自动驾驶、对话式AI、位置感知社交媒体和视觉搜索。 Read more.
Add to your personal schedule
11:1511:55 Thursday, April 12, 2018
与人工智能交互 (Interacting with AI)
Location: 报告厅(Auditorium) Level: Intermediate
曾敏 (Microsoft)
自2014年5月首次发布以来,超过1亿的来自中国、日本和美国的用户与著名的人工智能产品小冰(Xiaoice)进行了互动,进行了仿人的对话。讲师将会分享过去四年中获得的关键经验教训,并会解释如何使用它们来构建更好的聊天机器人。 Read more.
Add to your personal schedule
11:1511:55 Thursday, April 12, 2018
模型与方法 (Models and Methods)
Location: 多功能厅6A+B(Function Room 6A+B)
Yinyin Liu (Intel AI)
自然语言处理(NLP)带给计算机理解人类语言的能力。NLP利用深度学习最新算法发展例如文档理解之类的应用,使公司能够筛查海量文本,分类并找到相关信息。本议题我们将讨论深度学习最新发展如何影响处理文本、语言及基于对话应用,并启发了利用数据的新方向。我们还将讨论几个使用Intel® AI技术的NLP企业案例。 Read more.
Add to your personal schedule
13:1013:50 Thursday, April 12, 2018
模型与方法 (Models and Methods), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Zhefu Shi (University of Missouri)
It is critical to analyze the business impact of worldwide events on the financial market. Zhefu Shi explains how to use AI to analyze the impact of financial news using a financial data pipeline. Zhefu outlines how to extract financial entity information and use it to analyze business impact. All of the components use AI to enhance functionality. Read more.
Add to your personal schedule
13:1013:50 Thursday, April 12, 2018
模型与方法 (Models and Methods)
Location: 多功能厅5A+B(Function Room 5A+B) Level:
Tie-Yan Liu (微软亚洲研究院 (Microsoft Research Asia))
以深度学习为代表的人工智能技术通常需要大量的有标签训练数据,这对于很多应用领域而言并非易事。为了解决这个挑战,我们利用人工智能的对称之美——很多人工智能任务天然就是双向的,比如中到英翻译 vs.英到中翻译,图像分类 vs. 图像生成,语音识别 vs. 语音合成——来为机器学习建立闭环、生成有效的反馈信号,从而在缺乏有标签数据的情况下也能实现高效学习。我们将这种新型的学习方法称之为“对偶学习”。对偶学习已经被成功应用到诸多领域,取得了非同凡响的效果。本报告中,我们将针对对偶学习的数学模型、优化算法、概率解释、实验结果,收敛性分析等进行详细讨论,展示对偶学习的魅力,并对它在人工智能领域的更广泛应用进行展望。对偶学习有关的研究成果已发表在NIPS、ICML、IJCAI、AAAI等人工智能领域最顶尖的国际会议之上。 Read more.
Add to your personal schedule
13:1013:50 Thursday, April 12, 2018
Emmanuel Ameisen (Insight Data Science), Yan Kou (Insight Data Science)
Emmanuel Ameisen and Yan Kou share a guide for moving your company toward deep learning using a collection of NLP best practices gathered from conversations with 75+ teams from Google, Facebook, Amazon, Twitter, Salesforce, Airbnb, Capital One, Bloomberg, and others. Read more.
Add to your personal schedule
14:0014:40 Thursday, April 12, 2018
Yi Zhang (University of California, Santa Cruz | Rulai)
美国加州大学圣克鲁斯分校终身教授,Rul.ai公司的创始人张奕博士将向您全面剖析智能对话机器人。在这里您可以了解到在建设智能对话机器人中,如何评估各种技术方案,如何建设合适的团队,并且设计出以用户为中心的机器人。 她也会分享智能对话机器人在不同行业的使用案例。 Read more.
Add to your personal schedule
14:0014:40 Thursday, April 12, 2018
David Talby (Pacific AI)
Average rating: *****
(5.00, 1 rating)
Natural language processing is a key component in many data science systems that must understand or reason about text. David Talby offers an overview of the NLP library for Apache Spark, which natively extends Spark ML to provide open source, fully distributed, and optimized versions of state-of-the-art NLP algorithms, covering the library's design and sharing working code samples in PySpark. Read more.
Add to your personal schedule
14:5015:30 Thursday, April 12, 2018
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 多功能厅2(Function Room 2) Level: Beginner
Yishay Carmiel (IntelligentWire)
Yishay Carmiel offers an overview of neural models in speech applications, covering the dominant techniques and the elements that have contributed to the rapid progress. Yishay also looks to the future, examining which problems still remain and how far we are from solving them. Read more.
Add to your personal schedule
14:5015:30 Thursday, April 12, 2018
实施人工智能 (Implementing AI), 模型与方法 (Models and Methods)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
David Talby (Pacific AI)
Average rating: *****
(5.00, 1 rating)
To achieve high accuracy when reasoning about text, you generally need to understand specific languages, jargon, domain-specific documents, and writing styles. David Talby explains how to train custom word embeddings, named entity recognition, and question-answering models on the NLP library for Apache Spark. Read more.
Add to your personal schedule
16:2017:00 Thursday, April 12, 2018
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Sangkeun Jung (SK Telecom)
Natural language understanding is a core technology for building natural interfaces such as AI speakers, chatbots, and smartphones. Sangkeun Jung offers an overview of a spoken dialog system and recently launched AI speaker, NUGU, and shares lessons learned building a commercially efficient and sustainable natural language understanding system. Read more.
Add to your personal schedule
10:1510:35 Friday, April 13, 2018
Location: 紫金大厅A(Grand Hall A)
Hsiao-Wuen Hon (微软亚洲研究院 (Microsoft Research Asia))
人工智能已经引发了众多关注和讨论,而关于人类智能和人工智能孰优孰劣的辩论也不断升温。在这个主题演讲中,洪小文博士将介绍人工智能(AI)以及人类智能(HI)的历史。从历史的维度,以深刻的洞察,阐述AI和HI是如何彼此交织并共同进化的,并预示AI和HI可能的未来。 Read more.
Add to your personal schedule
13:1013:50 Friday, April 13, 2018
实施人工智能 (Implementing AI)
Location: 报告厅(Auditorium) Level:
Hui Lin (Liulishuo)
教育的个性化和高效率离不开智能化。本次演讲将结合“流利说”在过去5年的实践,从问题定义、数据获取、算法设计、模型优化等方面介绍如何将深度学习运用于语音识别、知识跟踪、以及自然语言处理等领域。实验结果显示,搭载这些智能技术的学习产品能将学习效率提升三倍。 Read more.