Saturday, November 28, 2020

AI, Blockchain, IoT Convergence Insights from Patents


 AI, Blockchain, IoT Convergence Insights from Patents

Contents

I. AI, Blockchain, IoT Technology Innovation Status 

1. Technology Innovation Status in Innovation Entity

2. Technology Innovation Evolution

3. Technology Innovation Status in Innovation Country

4. Technology Innovation Status in CPC Classification

5. Technology Innovation Status in Specific Technology

A. Deep RL Technology Innovation Status

B. Deep Learning for Autonomous Vehicle Technology Innovation Status 

C. Deep Learning for 5G Technology Innovation Status 

D. Deep Learning for Cybersecurity Technology Innovation Status 

E. Blockchain Privacy Technology Innovation Status 

F. Blockchain Interoperability Technology Innovation Status 

G. Blockchain DID Technology Innovation Status 

H. Blockchain Toknization Technology Innovation Status 


II. AI Blockchain IoT Convergence Technology Innovation Status 

1. Technology Innovation Status in Innovation Entity

2. Convergence Technology Innovation Status in Convergence Field

3. Convergence Technology Innovation Evolution

4. Technology Innovation Status in Innovation Country

5. Technology Innovation Status in CPC Classification

6. Technology Innovation Status in Specific Application

Privacy-preserving Blockchain-based AI Data/Model Marketplace

Blockchain-based Decentralized Machine Learning Platform

Blockchain-based Secure Telehealth-diagnostic System

Peer-to-Peer Micro-Loan Transaction System

Predictive Maintenance Platform for Industrial Machine using Industrial IoT

Blockchain Augmented IoT System for Dynamic Supply Chain Tracking

Decentralized Energy Management Utilizing Blockchain Technology

Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network

Distributed Handoff-related Processing for Wireless Networks


III. Appendix

1. AI Blockchain IoT Convergence AT A Glance

2. AI, Blockchain, IoT for Finance AT A Glance

3. AI, Blockchain, IoT for Healthcare AT A Glance

4. 5G Based AI + Blockchain + IoT Convergence AT A Glance


Link: https://www2.slideshare.net/alexglee/ai-blockchain-iot-convergence-insights-from-patents

 


Sunday, November 8, 2020

인공지능•블록체인•사물인터넷 융합시스템 기술 및 사업 개발 특강 개최

 

서울--(뉴스와이어) 2020 11 05 -- 4차 산업혁명 3대 핵심기술인 인공지능·블록체인·사물인터넷 융합 분야에 대한 이근호 박사 초청 특강이 11 17일 열린다. 이 특강은 KAIST 4차산업혁명정책센터가 주최하고 테크아이피엠 주관하며 이근호 박사는 해당 분야 전문가이다.

 

KAIST 4차산업혁명정책센터(Korea Policy Center for the Fourth Industrial Revolution, 이하 KPC4IR)는 세계경제포럼(World Economic Forum)의 한국 연구파트너로 특강 발표 내용의 일부는 KPC4I의 연구과제 지원으로 이뤄졌다.

 

이번 특강에서는 4차 산업혁명 3대 핵심기술인 인공지능, 블록체인, 사물인터넷의 기술 혁신 현황을 살펴보고 각 기술 간 결합 시너지를 분석해 인공지능, 블록체인, 사물인터넷 융합을 종합적으로 살펴본다. 또한 금융, 헬스케어, 스마트제조, 자율주행차, 5G 등 주요 인공지능, 블록체인, 사물인터넷 응용분야 융합시스템 개발에 대한 기술 소개, 요소기술 개발, 활용 사례, 특허 분석, 사업 전략 및 사업 모델 개발, GDPR/데이터 3법 규제 준수 및 대응, 디지털 뉴딜과의 사업 연계 및 개발 등에 대해 강의한다.

 

이번 특강을 진행하는 이근호 박사는 신기술 및 지식재산 사업화 및 수익화 전문가로, 이번 특강을 주관하며 미국 보스턴에 본사를 둔 인공지능, 블록체인, 사물인터넷 융합 시스템 기술·특허·사업화·수익화 개발 인큐베이팅 및 컨설팅 전문회사 테크아이피엠의 대표이다. 이근호 박사는 IT 분야 25년 이상의 경력자로 미국 존스홉킨스대학에서 박사를 받았고 MIT 경영대학원 혁신 및 전략 경영자 과정을 이수했다. 미국 서픽대학 로스쿨을 거쳐 현재 뉴욕주 변호사, 미국 변리사, 공인 라이센싱 전문가로 활동하고 있다.

 

이번 특강은 온·오프라인으로 진행되며 서초동 월튼블록체인연구교육원에서 청강 및 유튜브 실황 방송 및 녹화 방송 청강으로 참여할 수 있다. 이번 특강 무료로 등록에 대한 자세한 내용은 온오프믹스 모임 링크를 참고하면 된다.

 

온오프믹스 모임 링크: https://onoffmix.com/event/225904

 

Thursday, July 9, 2020

Saturday, June 6, 2020

Deep Reinforcement Learning Innovation Insights from Patents


Patents are a good information resource for obtaining the state of the art of deep reinforcement learning (Deep RL) technology innovation insights. Patents that specifically describe the major Deep RL technologies are a good indicator of the Deep RL innovations in a specific innovation entity. To find the deep learning technology innovation status of Deep RL, patent applications in the USPTO as of May 31, 2020 that specifically describe the major Deep RL technologies are searched and reviewed. 260 published patent applications that are related to the key Deep RL technology innovation are selected for detail analysis.

Post-AlphaGo Deep Learning Innovation Status!
Link: https://www.slideshare.net/alexglee/deep-reinforcement-learning-innovation-insights-from-patents

Friday, May 22, 2020

Google Deep Learning Innovation Insights from Patents



Patents are a good information resource for obtaining the state of the art of deep learning technology innovation insights. Patents that specifically describe the major deep learning technologies are a good indicator of the deep learning innovations in a specific innovation entity. To find the deep learning technology innovation status of Google, patent applications in the USPTO as of May 12, 2020 that specifically describe the major deep learning technologies are searched and reviewed. 70 patent applications that are related to the key deep learning technology innovation are selected for detail analysis.

Friday, January 24, 2020

Blockchain Patents Landscape for Innovation Leadership 4Q 2019




Patent information can provide insights regarding the state of the art of the Blockchain technology innovation. Patents regarding the Blockchain technology innovation that specifically describe the major Blockchain technologies are a good indicator of the Blockchain innovations in a specific innovation entity. 

To find Blockchain technology innovation leadership for the US market, patents in the USPTO database are searched using relevant Blockchain keywords. Total of nearly 5,000 published patent applications regarding Blockchain technology innovation are identified as of 4Q 2019.

IBM is the leader in Blockchain patent application followed by Alibaba, Walmart, Bank Of America, Mastercard, American Express, Intel, Microsoft, Accenture, nChain Holdings, Coinplug, NEC, Apple, Fmr LLC, Pure Storage, JPMorgan Chase Bank, Cognitive Scale, SAP, Cisco, and PayPal.

It is interesting to find innovation leadership of Alibaba (E-commerce giant), Wal-Mart (a retail giant) and Intel (a semiconductor chip manufacturing leader) in Blockchain technology innovation.

Patent application activity chart shows a dramatic increase in technology innovation within four years. 

For more information, please contact Alex G. Lee (alexglee@techipm.com).

©2020 TechIPm, LLC All Rights Reserved
http://www.techipm.com/

AI (Artificial Intelligence) Patents Landscape for Innovation Leadership 4Q 2019



Patent information can provide insights regarding the state of the art of the AI technology innovation. Patents regarding the AI technology innovation that specifically describe the major AI technologies are a good indicator of the AI innovations in a specific innovation entity. 

To find AI technology innovation leadership for the US market, patents in the USPTO database are searched using relevant AI keywords. Total of nearly 20,000 published patent applications regarding AI technology innovation are identified as of 4Q 2019.

IBM is the leader in AI patent application followed by Microsoft, Samsung Electronics, Intel, Google, AT&T, Accenture, Qualcomm, LG Electronics, Siemens , General Electric, Toyota, Baidu, Comcast, Cisco, General Motors, Honda, Sony, Adobe, and Facebook.

It is interesting to find several automobile manufactures' AI innovation leadership: Toyota, GM, and Honda. It is also interesting to find Apple's relatively low innovation activity in AI compare to its competitors.

Patent application activity chart shows a dramatic increase in technology innovation within five years. 

For more information, please contact Alex G. Lee (alexglee@techipm.com).

©2020 TechIPm, LLC All Rights Reserved
http://www.techipm.com/