Jan 26 2017 108 mins 3
We are approaching the threshold of a golden age in Artificial Intelligence research — perhaps the most thrilling technological revolution since the one that first ushered in the Internet era.
You may have noticed the uptick in new stories mentioning self-driving cars, AlphaGo and robots. Maybe you felt a twinge of concern at Stephen Hawking’s warning that AI “could spell the end of the human race”. Perhaps you have encountered some of the opaque terms of art — “machine learning”, “deep learning”, “neural networks”, “big data” — that AI researchers use amongst themselves. All of this can seem distant and abstract — but already, AI techniques are changing the fabric of daily life in the form of customized recommendations, smarter web search results, voice and image recognition, and personal assistants like Siri, Google Now, and Cortana, which can understand natural language.
If these developments seem to be coming faster and harder than ever before, that is no coincidence. The marriage of academia and industry is accelerating the development of AI. Almost every major company in the internet and computer industry is making AI a core part of its strategy. The intensified interest in the field is being felt in universities and institutes as much as in industry, where many leading computer scientists are leading their own research groups.
We are excited to kick off our culture salon events for 2017 with our distinguished speaker, Yann LeCun, Director of AI Research at Facebook and Silver Professor of Computer Science, Neural Science, and Electrical and Computer Engineering at New York University. As a leading figure in the field of AI, he is well known for his work on optical character recognition and computer vision using convolutional neural networks, a machine learning technique that he pioneered. Yann’s research focuses on machine learning, computer vision, mobile robotics and computational neuroscience.
The event will include a talk, an interview and a Q&A session. Yann will discuss current developments in AI and his perspective on the future of the field. (For a general overview of what AI is, you may find this blog entry by Yann helpful.) You are welcome to list your questions in the registration form.
We'd like to thank Ledell Wu from Facebook AI Research for inviting Yann.
This event will be held in English.
Yann LeCun, photo provided by Facebook
人工智能正进入黄金时代——这或许是人类进入互联网时代以来最激动人心的技术变革。
和历史上许多技术跃迁一样，大众刚嗅到它的到来，其势头已排山倒海。AlphaGo、无人驾驶、机器人……充斥着黑科技般的“机器学习”、“深度学习”、“神经网络”、“大数据”等名词，人工智能话题不断刷新着新闻头条。你不需要像围棋名士那样在震撼中反思棋理，也不需要像霍金那样担忧人类发展临近奇点，就足以感受到人工智能的迫近：图像与语音识别、自然语言理解、外语翻译、网络搜索、个性推荐、私人助理等应用，已经渗入到生活的每个细节。
Google, Facebook, Microsoft, Amazon, Apple, Tesla, Nvidia, IBM, 百度，腾讯，阿里巴巴……几乎所有互联网和计算机巨头都将人工智能视为其战略核心。学界与业界的紧密联姻让理论得以第一时间应用到实践，并在反馈中迅速迭代。
本期沙龙，我们荣幸地邀请到了人工智能领域首屈一指的科学家和业界领袖Yann LeCun，向大家介绍人工智能的基础知识和未来走向。Yann LeCun是Facebook人工智能实验室主任、纽约大学计算机科学教授、纽约大学数据科学中心创办者。他因在字符识别（OCR）和卷积神经网络（CNN）的工作而闻名，主攻领域为计算机视觉、自然语言处理、模式识别、机器人、计算神经科学等工作。他还积极地向公众普及人工智能的基础知识和发展动态，比如在这篇博客中，Yann用三个短视频形象地解释了人工智能、机器学习和卷积神经网络。
本期沙龙由讲座、访谈和问答构成。请在报名表中列出您的问题，我们会选择部分在访谈中提问。您也可以在现场提问。
感谢Facebook人工智能实验室的研发工程师伍昱邀请Yann LeCun。
Time: Jan 26, 2017, Thursday, 6:15-8:30PM
Address: Lecture Hall 101, SUNY College of Optometry, 33 W 42nd St (North side of Bryant Park)
Schedule:
18:30-19:15 Talk
19:15-19:45 Interview
19:45-20:30 QA
Please arrive 15 minutes before the event starts.
主讲人：
官网提供讲义、录音、视频、引用文献等参考资料下载：https://nyshalong.com/event/115
转载、引用活动讲义、录音与视频等内容，必须获得主讲人和沙龙授权，同时需注明内容来源为：纽约文化沙龙(www.nyshalong.com)。
You may have noticed the uptick in new stories mentioning self-driving cars, AlphaGo and robots. Maybe you felt a twinge of concern at Stephen Hawking’s warning that AI “could spell the end of the human race”. Perhaps you have encountered some of the opaque terms of art — “machine learning”, “deep learning”, “neural networks”, “big data” — that AI researchers use amongst themselves. All of this can seem distant and abstract — but already, AI techniques are changing the fabric of daily life in the form of customized recommendations, smarter web search results, voice and image recognition, and personal assistants like Siri, Google Now, and Cortana, which can understand natural language.
If these developments seem to be coming faster and harder than ever before, that is no coincidence. The marriage of academia and industry is accelerating the development of AI. Almost every major company in the internet and computer industry is making AI a core part of its strategy. The intensified interest in the field is being felt in universities and institutes as much as in industry, where many leading computer scientists are leading their own research groups.
We are excited to kick off our culture salon events for 2017 with our distinguished speaker, Yann LeCun, Director of AI Research at Facebook and Silver Professor of Computer Science, Neural Science, and Electrical and Computer Engineering at New York University. As a leading figure in the field of AI, he is well known for his work on optical character recognition and computer vision using convolutional neural networks, a machine learning technique that he pioneered. Yann’s research focuses on machine learning, computer vision, mobile robotics and computational neuroscience.
The event will include a talk, an interview and a Q&A session. Yann will discuss current developments in AI and his perspective on the future of the field. (For a general overview of what AI is, you may find this blog entry by Yann helpful.) You are welcome to list your questions in the registration form.
We'd like to thank Ledell Wu from Facebook AI Research for inviting Yann.
This event will be held in English.
人工智能正进入黄金时代——这或许是人类进入互联网时代以来最激动人心的技术变革。
和历史上许多技术跃迁一样，大众刚嗅到它的到来，其势头已排山倒海。AlphaGo、无人驾驶、机器人……充斥着黑科技般的“机器学习”、“深度学习”、“神经网络”、“大数据”等名词，人工智能话题不断刷新着新闻头条。你不需要像围棋名士那样在震撼中反思棋理，也不需要像霍金那样担忧人类发展临近奇点，就足以感受到人工智能的迫近：图像与语音识别、自然语言理解、外语翻译、网络搜索、个性推荐、私人助理等应用，已经渗入到生活的每个细节。
Google, Facebook, Microsoft, Amazon, Apple, Tesla, Nvidia, IBM, 百度，腾讯，阿里巴巴……几乎所有互联网和计算机巨头都将人工智能视为其战略核心。学界与业界的紧密联姻让理论得以第一时间应用到实践，并在反馈中迅速迭代。
本期沙龙，我们荣幸地邀请到了人工智能领域首屈一指的科学家和业界领袖Yann LeCun，向大家介绍人工智能的基础知识和未来走向。Yann LeCun是Facebook人工智能实验室主任、纽约大学计算机科学教授、纽约大学数据科学中心创办者。他因在字符识别（OCR）和卷积神经网络（CNN）的工作而闻名，主攻领域为计算机视觉、自然语言处理、模式识别、机器人、计算神经科学等工作。他还积极地向公众普及人工智能的基础知识和发展动态，比如在这篇博客中，Yann用三个短视频形象地解释了人工智能、机器学习和卷积神经网络。
本期沙龙由讲座、访谈和问答构成。请在报名表中列出您的问题，我们会选择部分在访谈中提问。您也可以在现场提问。
感谢Facebook人工智能实验室的研发工程师伍昱邀请Yann LeCun。
Time: Jan 26, 2017, Thursday, 6:15-8:30PM
Address: Lecture Hall 101, SUNY College of Optometry, 33 W 42nd St (North side of Bryant Park)
Schedule:
18:30-19:15 Talk
19:15-19:45 Interview
19:45-20:30 QA
Please arrive 15 minutes before the event starts.
主讲人：
官网提供讲义、录音、视频、引用文献等参考资料下载：https://nyshalong.com/event/115
转载、引用活动讲义、录音与视频等内容，必须获得主讲人和沙龙授权，同时需注明内容来源为：纽约文化沙龙(www.nyshalong.com)。
