Showing posts with label ai. Show all posts
Showing posts with label ai. Show all posts

Monday, May 10, 2021

AI Blockchain IoT Convergence for ESG Digital Transformation Webinar

Two key words for the post COVID-19 pandemic economic recovery will be the ESG (Environmental, Social, and Governance) management and digital transformation acceleration.

It is also expected that three core technologies in the data-centric digital economy - AI, Blockchain, IoT and their convergence - will support a long-term sustainable economic system development. 

Combining the two key words and three core technologies, Alex G. Lee, Ph.D., Esq. (https://www.linkedin.com/in/alexgeunholee/) will present how the AI, Blockchain, IoT and their convergence will enable the ESG digital transformation.


Alex will present the state of the art innovations of AI, Blockchain, IoT and their convergence, demos of specific implementations of the convergence systems, and use cases for the ESG digital transformation. 

Specifically, based on AI, Blockchain, IoT related patents and ESG related reports analysis, Alex will present specific technical details about the use cases in the most important 10 sub-fields of ESG digital transformation -

E: environmental sustainability, natural resources, climate change, energy & pollution, waste management; S: social responsibility, human rights, business relationship; G: corporate governance, code of conduct.

Alex will also present the industry-wise ESG performance maps, which can be used with the ESG digital transformation analysis in selecting best-in-class portfolio companies for ESG investment.


Place: Online Zoom meeting


Time: May 20, 2021 7 pm – 9.30 pm Eastern Time/EDT (US and Canada)

          May 20, 2021 4 pm – 6.30 pm Pacific Time/PST (US and Canada)

          May 21, 2021 8 am – 10.30 am GMT+9 Time Zone (S. Korea and Japan)


Registration: https://www.eventbrite.com/e/ai-blockchain-iot-convergence-for-esg-digital-transformation-webinar-tickets-153378221389?utm_source=eventbrite&utm_medium=email&utm_campaign=post_publish&utm_content=shortLinkNewEmail



Tuesday, March 16, 2021

AI and Blockchain Applications for ESG Financing and Investing Webinar


 

Thursday, March 11, 2021

(Presentation Video) Blockchain DeFi Platform Design & Development Webinar




Part I Blockchain DeFi New Ecosystem

Data Tokenomics: Filecoin/Ocean Protocol/SingularityDAO

DeFi for Off-chain Assets: OpenDAO

Video Link: https://www.youtube.com/watch?v=9n2Bn8es3Io

 

 

Part II Blockchain DeFi Liquidity Pool & Mining

Bonding Curves for Liquidity Pools/Automated Market Makers/NFT

Constant Function Market Makers

Automatic Asset Allocation and Aggregation for Yield Farming

Video Link: https://www.youtube.com/watch?v=RmcHU5M_YMg

 

 

Part III Blockchain DeFi Token

Crypto-Collateralized Stablecoins

Token Engineering/Monetary Policy: Pool token supply & distribution & pricing & incentive

Governance Tokens

Part IV Blockchain System

Blockchain interoperability/scalability/privacy/security

Layer 1 (Ethereum/Cosmos/Polkadot) & 2 (Plasma/ZK rollups) Systems/Gas Fee Reduction

Money Legos/Composability

Patent Development

Video Link: https://www.youtube.com/watch?v=osvvEktjyBE

 

 

Part V Risk Management

Technical Risks: smart code vulnerability/front-running attack

Financial Risks: collateral risk/exploitation of flash loans/impermanent loss

Legal/Regulatory Risks: SEC/FinCEN/FATF/GDPR

Part VI AI Applications

AI for Blockchain System

AI & Blockchain for Finance

AI for DeFi Asset Management: yield farming optimization/AI advisor

AI for DeFi Trading: algorithmic trading/arbitration bots

Video Link: https://www.youtube.com/watch?v=0pK96t6fYWs

 

 

Summary in Korean

Video Link: https://www.youtube.com/watch?v=tXCyMvxXJLw

 

Monday, December 21, 2020

AI, Blockchain, IoT Convergence Use Case System Implementation Insights from Patents


 

Contents

I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status

II. AI, Blockchain, IoT Convergence Use Case System Implementation Examples

1. Blockchain-based Privacy-Preserving Federated Learning System

2. Blockchain-based Decentralized IoT & AI Data Marketplace

3. Blockchain-based Trustworthy AI & IoT Systems

4. Blockchain-based Decentralized Parallel Edge Machine Learning

5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT

6. AI+Blockchain System for Car Sharing Service

7. Connected Autonomous Vehicle Communication Management System

8. 5G-based AI+Blockchain+IoT Edge Computing System

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


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

 

Friday, January 24, 2020

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/

Wednesday, November 20, 2019

Blockchain + AI + Big Data Technology Integration Demo

Part I. Cryptocurrency Payment System for E-Commerce Applications
Secure Multi Coin Decentralized Wallet Demo
Emotion AI Chatbot Demo
E-Commerce Integration Demo
AI Chatbot Sentiment Analysis + Big Data Analytics
Hyperledger Fabric Token Wallet Implementation
High Throughput Token Wallet Implementation Performance
Hyperledger Fabric MainNet Prototype Implementation
Mobile Wallet Token Transaction over MainNet Prototype Demo

Part II. Xanadu Based Healthcare Information Retrieval & Sharing System
Xanadu Based Big Data Archive
Xanadu Introduction Video
Xanadu Use Case Demo
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Blockchain-Xanadu Database Integration Demo
Xanadu Base Big Data Deep Learning Demo
Intellectual Property Development



Boston & Silicon Valley Blockchain & AI Startup Ecosystem & Investment Trends

Silicon Valley Startup Ecosystem
Boston Startup Ecosystem
How to Leverage the East Cost startup Ecosystem
East v. West
Boston’s Top Accelerators, Incubators, and Startup Programs
Artificial Intelligence in Boston – An Overview of Startups, Funding, and Trends
Spark Blockchain
Investment Key Agenda
Investor’s View of Startup KSF
Investor’s Tips for Startup Pitches
Investor’s View of Startup Valuation
Investor’s View of AI Investment
Investor’s View of Blockchain Investment
Boston AI & Blockchain Angel & VC Information
STO (Security Token Offering)
SEC STO Fund Raising Compliance
Launching A STO in the US



Thursday, August 22, 2019

Blockchain + AI + Big Data Technology Integration Roadshow



Registration: https://www.eventbrite.com/e/blockchain-ai-big-data-technology-integration-roadshowsan-francisco-bay-area-tickets-69895400023

Description

I am pleased to invite you to the first Elamachain & Xanadu Joint San Francisco Bay Area Roadshow on September 23, 2019. In the roadshow, implementations of blockchain + AI + big data technology integration will be presented for FinTech, E-Commerce, and Helathcare applications.

I. Cryptocurrency payment system by Elamachain in collaboration with Cloudmate group and QuillHash
Demo of hyperledger fabric token wallet implementation with high throughput chain code development
Demo of multicoin wallet implementation with advanced UI/UX development
Demo of emotion AI chatbot implementation for E-commerce applications
Demo of sentiment analysis implementation with smart chatbot voice recognition interface

II. Healthcare information retrieval & sharing system by Xanadu in collaboration with HashBlock
Demo of NoSQL DB implementation with ACID compliance
Demo of content based medical image retrieval system
Demo of blockchain based medical image sharing system
Introduction of blockchain based decentralized distributed storage technology development

III. Taekwon Block Project Introduction by Taekwon Block Inc. in collaboration with Elamachain and Xanadu
AI martial arts school recommendation and sharing system development
Blockchain based training history management system development

Date/Time: September 23 (Monday), 2019 17:30 – 21:30

Venue: Seaport Conference Center, 459 Seaport Ct, Redwood City, CA 94063
Map: http://www.seaportconferencecenter.com/contact/

Agenda:
17:30 - 18:10 pm: check-in/registration & dinner
18:10 - 19:30 pm: Elamachain demo
19:30 - 19:40 pm: Coffee Break
19:40 - 20:30 pm: Xanadu demo
20:30 - 21:00 pm: Taekwon Block Introduction
21:00 - 21:30 pm: Q&A and networking

Participating Companies:
Boston based Elamachain USA, LLC is the R&D center for Elamachain Foundation (https://www.elamachain.io/). Elamachain is the world first Hyperledger based blockchain payment solution in integration with emotion AI.

Xanadu Big Data, LLC (http://www.xanadubigdata.com/)  is based in Boston, and is operated for Xanadu big data management platform technology in integration with AI and blockchain development, commercialization, and monetization.

Cloudmate group (https://cloudmategroup.com/) provides end-to-end AI chatbot solutions.
Cloudmate group has also expertise in web & mobile applications development.

QuillHash Technologies Pvt. Ltd. (https://www.quillhash.com/)  is a Blockchain dev-house based in India with expertise in providing NFT development and Blockchain Security Audits along with enterprise grade Blockchain solutions on Private and public blockchains, Supply chain and DEX development.

Boston based HashBlock USA LLC is the R&D center for HashBlock Inc. (http://www.hashblk.com/en/index-en.php), which is a strategic partner of Xanadu Big Data, LLC in S. Korea.

Taekwon Block Inc. (http://www.taekwonblock.io/)  is a startup company in S. Korea established to create a global Taekwondo community platform. Taekwon Block project is for making taekwondo training easier and to record the value of that precious process.




Tuesday, September 4, 2018

블록체인 + 빅데이터 + AI + IoT + 5G 융합 특강

내용: 신뢰성 있는 비즈니스 트렌젝션을 가능하게 하는 블록체인과 IoT, AI, 5G 등 신기술간의 결합에 의한 빅데이터 디지털 자산의 공유, 거래, 활용을 가능하게 하는 블록체인 + 빅데이터 + AI + IoT + 5G 융합 시스템에 대한 기술 및 응용사례를 강의한다.
1. 블록체인, AI, IoT, 5G 기술 및 활용사례 소개
2. 블록체인 + 빅데이터 + AI + IoT + 5G 융합 기술개발 및 활용사례
3. 제나두기반 블록체인 융합 시스템 소개 및 데모

강사: 이근호 박사(미국 제나두 빅데이터 대표)

일시: 919 (수요일) 오후 1:30 - 4:30

장소: 홍익대학교 빅데이터센터

등록비: 무료


Monday, September 25, 2017

Fourth Industrial Revolution & Xanadu: Big Data + IoT + Deep Learning Integration Strategy

Part I
The Fourth Industrial Revolution?
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases

Part II
Big Data Use Cases
IoT Introduction
IoT Use Cases

Part III
IoT Use Cases
Artificial Intelligence Overview
Deep Learning Introduction
Deep Learning Use Cases

Part IV
Deep Learning Use Cases
Big Data in IoT & Deep Learning
Challenges of IoT Big Data Analytics Applications
Distributed Deep Learning
Xanadu Functionality
Xanadu Performance BMT
Xanadu Fault Tolerance Test Demo
Xanadu Use Cases
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case

Part V
Xanadu Cloud Computing Use Case
Xanadu + Deep Learning + Spark + Hadoop Integration
Xanadu based Big Data Deep Learning System

Saturday, January 7, 2017

CE Trends Insight from CES 2017


Contents
IoT + Big Data + AI + 3D Printing became the key enabling CE technologies
AR/VR Products are widely adopted in CE market
Robots became an essential part of smart home
Drone became a mainstream CE business
Industry crossover and convergence will be accelerated

Link: http://www.slideshare.net/alexglee/ce-trends-insight-from-ces-2017