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

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.

Link: https://www.slideshare.net/alexglee/google-deep-learning-innovation-insights-from-patents

Xanadu Based Big Data Deep Learning for Medical Data Analysis

Contents

Part I
Deep Learning for Medical Data Analysis Introduction
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Brain Tumor Research
Alzheime Prediction
A Survey on Medical Image Deep Learning Research
Cardiac Arrhthymia Detection
ICU Patient Care

Part II
Deep Learning Introduction
Convolution Process Details
Issues with Big Data Deep Learning
Distributed Deep Learning for Medical Big Data Analysis
Challenges of Deep Learning for Medical Data Analysis
Content Based Image Retrieval (CBIR)

Part III
Xanadu Functionality
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Deep Learning + Hadoop + Spark Integration
Xanadu based Big Data Deep Learning System for Medical Data Analysis
Xanadu CBIR Demo

Link: https://www.slideshare.net/alexglee/xanadu-based-big-data-deep-learning-for-medical-data-analysis

(Seminar) Xanadu Big Data Deep Learning System for Medical Data Analysis

의료 빅데이터 딥러닝 시스템 및 빅데이터 센터 심포지움

일시: 2017년 11월 9일(목요일), 오전 10:00 ~ 12:00

장소: 중앙보훈병원 중앙관 지하2층 대강당 (http://seoul.bohun.or.kr/020info/info01.php?left=1)

내용:
10.00 ~ 10.50
제나두 기반 의료 빅데이터 딥러닝 시스템
이근호 박사 (미국 제나두 빅데이터 대표)
10.50 ~ 11.05
홍익대학교 빅데이터 센터 소개
표창우 교수 (홍익대학교 공대학장)
11.05 ~ 11.30
Pub/Sub 기반 이종 의료 정보 실시간 패턴 분석 (CEP) 및 전파
윤영 교수 (홍익대학교 컴퓨터공학과)
11.30 ~ 12.00
패널토론: 제나두 기반 의료 빅데이터 딥러닝 시스템 구축 및 상호협력 연구 프로젝트 추진 방안
사회: 김억 교수 (홍익대학교 빅데이터 센터)
패널: 이근호 박사, 표창우 교수, 윤영 교수, 보훈병원 김봉석 기조실장 및 관계자들

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

https://www.youtube.com/watch?v=sHPfY4E_4T0&feature=youtu.be

Part II

Big Data Use Cases

IoT Introduction

IoT Use Cases

https://www.youtube.com/watch?v=4J3iuxP4B4U&feature=youtu.be

Part III

IoT Use Cases

Artificial Intelligence Overview

Deep Learning Introduction

Deep Learning Use Cases

https://www.youtube.com/watch?v=cC5SK4G27Mo&t=58s

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

https://www.youtube.com/watch?v=DOW1vtGgKL0&t=17s

Part V

Xanadu Cloud Computing Use Case

Xanadu + Deep Learning + Spark + Hadoop Integration

Xanadu based Big Data Deep Learning System

https://www.youtube.com/watch?v=V0s9FxG_zuU&feature=em-upload_owner

Xanadu for Big Data + IoT + Deep Learning + Cloud Integration Strategy (YouTube Presentation Video)

Silicon Valley Xanadu Promotional Event Presentation Part I

Big Data in IoT & Deep Learning

Challenges of IoT Big Data Analytics Applications

Challenges of Cloud-based IoT Platform

Cloud-based IoT Platform Use Case: GE Predix for Smart Building Energy Management

Link: https://www.youtube.com/watch?v=tJpsq6pg3Sg

Silicon Valley Xanadu Promotional Event Presentation Part II

Fog/Edge Computing & Micro Data Centers

Deep Learning for IoT Big Data Analytics Introduction

Deep Learning for IoT Big Data Analytics Use Case

Distributed Deep Learning

Link: https://www.youtube.com/watch?v=7GK8RfFbHiU&t=34s

Silicon Valley Xanadu Promotional Event Presentation Part III

Big Data + IoT + Cloud + Deep Learning Insights from Patents

Big Data + IoT + Cloud + Deep Learning Strategy Development

Link: https://www.youtube.com/watch?v=dFmx6vSXPf8

Silicon Valley Xanadu Promotional Event Presentation Part IV

Designing Data-Intensive Applications

Xanadu Functionality

Xanadu Use Case

Xanadu + Deep Learning + Hadoop Integration

Link: https://www.youtube.com/watch?v=Cl_y5sTj-Tk&t=5s

Part I+ II + III + IV Presentation Slide

Link:  https://www.slideshare.net/alexglee/xanadu-for-big-data-iot-deep-learning-cloud-integration-strategy

Xanadu for Big Data + Deep Learning + Cloud + IoT Integration Strategy Presentation

Link: https://www.slideshare.net/alexglee/xanadu-for-big-data-iot-deep-learning-cloud-integration-strategy

Xanadu for Big Data + Deep Learning + Cloud + IoT Integration Strategy

Event Description:

Alex G. Lee, a managing partner of Xanadu Big Data, LLC, will talk about Xanadu technology and use cases for Big Data + Deep Learning + Cloud + IoT Integration Strategy.

Xanadu is the most advanced big data management platform technology that is developed to take care of the requirement of high speed processing of diverse type of high volume data. Xanadu can provide a massively scalable fault tolerance system that can connect multiple storages. Xanadu can provide high throughput and low latency data management system. Xanadu provides ACID compliance data management system. Xanadu is designed to be a composable architecture in order to be selected and integrated with other big data system elements such as IT infrastructures and data analytics to satisfy specific big data use requirements. Xanadu is designed for the heaviest workloads that can supports concurrent queries without conflict. For example, Xanadu can support thousands of sensors accessing and updating data at the same time. Thus, Xanadu enables real-time IoT analytics for industrial IoT applications. Xanadu also can support data-intensive distributed deep learning applications involving massive volume multimedia data.

Please join to meet Alex G. Lee for lunch and introduction of Xanadu.

Date: 6/29/2017

Time: 11.30 am – 3 pm

Location: DLA Piper in Palo Alto, 2000 University Ave, Palo Alto, CA 94303

Agenda:

11.30 am – 12.00 pm Check-in

12.00 pm – 1.00 pm Lunch & Networking

1.00 pm – 1.10 pm Introduction by DLA Piper

1.10 pm – 2.30 pm Presentation by Alex G. Lee

2.30 pm – 3.00 pm Networking

3.00 pm Meeting adjourn

This event is by invitation only. If you want to attend the event please send RSVP to Alex G. Lee (alexglee@xanadubigdata.com) with your name, company name, title and email address.