How CEOs should consider all the scenarios that patents are important for: patents as assets, sales tools, offense-defense tools. 科创企业应该发明、攻防、销售、资产等场景看专利。
From R&D to Business Successes - tech transfer stories in AIUny Cao
From R&D to Business Successes: Success Stories in Innovation & Entrepreneurship in Artificial Intelligence
人工智能从科研到成功产品的创新创业案例
IDx-DR as a success story of the university tech transfer model, and Siri as the SRI model.
Applying NLP (natural language processing) to the patent genreUny Cao
Patents are different from text (web pages, news stories, etc), or research papers or other genres. It is necessary to adapt NLP (natural language processing) tools in order to fulfill tasks arising from the life cycle of patents as documents, patents as core elements to product development, as well as patents as financial assets.
In the "Kurzweilian world", we humans engage in innovation because that's the way to gain longevity. And to get there, we need to be equipped according to Daniel Dennett.
Technologists are advised to get involved in patenting or risk facing consequences like Google has with patent battles. The document outlines how Google bought over 2,000 patents from IBM and Motorola to strengthen its position in patent disputes. It also discusses a recent patent win by Apple against HTC. The document urges technologists to treat patenting as part of the product development process and provides an overview of the patenting process and resources available.
6. 厘清几个概念
Artificial Intelligence ( AI 人工智能)
Machine Learning ( ML 机器学习)
Intelligence Amplification ( IA 智力放大)
[Michael I. Jordan 2017]
6
7. 机器学 (习 ML )的企 用业级应 举
例(主要根据以下的讲座的内容)
Professor Michael I. Jordan.
Machine Learning: Perspectives and Challenges, A talk.
讲座:机器学习:观点和挑战。
2017.09.09. 浙江大学玉泉校区。
主办方:浙大管理学院科技创业中心( ZTVP )、混沌大学杭州分社。
7
23. 10. Market Intelligence and Consulting Institute. Artificial
Intelligence: Patents, Business Opportunity, and Brand
Strength Analysis. 2017.03.
11. 36 氪研究 . 《人工智能行业研究报告 ( 2017 年)》
.
12. 哈佛商业评论 Harvard Business Review.THE
BUSINESS OF ARTIFICIAL INTELLIGENCE. 2017. 《哈
佛商业评论》:人工智能商业之路的现状、潜力、
风险与局限 .
13. 麦肯锡 McKinsey Global Institute. Artificial
intelligence:The next digital frontier? June 2017.
14. SlashData.Machine Learning and Data Science
Landscape. 2017. 23
24. 16. HC3i 中国数字医疗网 . 《 2016-2017 年度人工智能
+ 医疗市场分析及趋势报告》 .
17. 美国国家标准与技术局。 National Institute of
Standards andTechnology. Current Standards
Landscape for Smart Manufacturing Systems. 2016.( 智
能制造:有关的国际标准 ).
18. Professor Michael I. Jordan. Machine Learning:
Perspectives and Challenges, A talk. 讲座:机器学习:
观点和挑战。 2017.09.09. 浙江大学玉泉校区。
19. 机器之心网站。 “人工智能领域中英对照” 500 个词汇
The English-Chinese paired terminologies in Artificial
Intelligence Domain 。 2017.07.
24