Transformation to Artificial Intelligence with MATLAB Roy Lurie, PhD Vice President of Engineering MATLAB Products

Size: px
Start display at page:

Download "Transformation to Artificial Intelligence with MATLAB Roy Lurie, PhD Vice President of Engineering MATLAB Products"

Transcription

1 Transformation to Artificial Intelligence with MATLAB Roy Lurie, PhD Vice President of Engineering MATLAB Products 2018 The MathWorks, Inc. 1

2 A brief history of the automobile First Commercial Gas Car 1885 Benz Patent Motor Car 2

3 A brief history of the automobile First Affordable Car 1908 Ford Model T 3

4 A brief history of the automobile First ECU 1981 GM Vehicles 4

5 A brief history of the automobile 1981 TODAY 5

6 The First Digital Transformation: Embedded Controls in Everything? Model-Based Design Data Analysis Engine Calibration 6

7 A brief history of the automobile First Connected Cars 1998 BMW Assist Safety & Convenience Services 7

8 A brief history of the automobile First ADAS 2000 Mercedes-Benz Actros Lane Departure Warning System 8

9 A brief history of the automobile 2000 Today/Soon 9

10 The Second Digital Transformation: Artificial Intelligence Everywhere? Model-Based Design Data-Driven Algorithms 10

11 11

12 Using Machine Learning to build and deploy a predictive maintenance system 1TB Pump logs of temperature, pressure & other data Analytics and Machine Learning plus signal processing, neural networks & more Predictive Model deployed to drill site Maintenance Needed 12

13 13

14 Using Model-Based Design and Data Analytics to design and verify an automated driving system 80 TB Machine Learning extract interesting events Visualize Sensor Data Vehicle Logs of video and radar data Sensor Fusion Algorithms deployed on vehicle Re-simulate Refine Algorithm 14

15 Challenges of developing and integrating AI Big Data Analytics Machine Learning and Deep Learning Cloud and Embedded Algorithm Deployment Making AI easy and accessible for Engineers 15

16 Making big data easy and accessible for Engineers Working with Real-World Data Numeric double, single, logical categorical datetime duration calendarduration Heterogeneous timetable structure cell table Text c h char {c h} cell string str string 16

17 Making big data easy and accessible for Engineers Working with Really Big Data {c h} {c h} {c h} {c h} {c h} {c h} str str str str str str Tall arrays 17

18 Making machine learning easy and accessible for Engineers Machine Learning Apps Regression Learner 18

19 Deep Learning is Changing Expectations 20

20 21

21 Deep Learning is Changing Expectations 22

22 23

23 Deep Learning Tools are for Programmers 24

24 Making deep learning easy and accessible for Engineers 25

25 Making deep learning easy and accessible for Engineers camera = webcam; img = snapshot(camera); net = alexnet; label = classify(net,img) 26

26 Making deep learning easy and accessible for Engineers Automate ground truth labeling using deep learning 28

27 Sometimes you need more than object detection 29

28 Making deep learning easy and accessible for Engineers Labeling everything through semantic segmentation 30

29 Delivering analytics to both embedded and enterprise systems ENTERPRISE EMBEDDED 31

30 Making deep learning easy and accessible for Engineers Automatically generate CUDA code and TensorRT to deploy trained deep learning networks to NVIDIA GPUs 32

31 Making deep learning easy and accessible for Engineers Embedded GPU code finding drivable path 33

32 Each release makes AI easy and accessible JSON Hyperparameter Optimization MATLAB Drive CAFFE Model Zoo Mobile Sensors Cloud Logging Spark Heatmap Charts Tall timetable Timetable Machine Learning Code Gen Regression Learner app Add-On Explorer Categories Missing Data Functions Tall Arrays Deep Learning MATLAB Production Server RESTful Interface AlexNet Classification Code Gen Deep Learning on CPU VGG-16, VGG-19 Categorical Plotting Bayesian Statistics Symbolic Variable Units GPU Coder Tall Visualization Live Functions Image Segmenter App DAG Networks LSTM Semantic Image Segmentation Image Denoising Deep Learning Training Visualization Text Analytics Toolbox Change Point Detection Twitter Datafeed MQTT Geographic Bubble Chart Parallel Bayesian Optimization Web Apps App Testing Framework uidatepicker Faster Startup Faster Image and Video Reading Deep Learning Layer Validation More Tall Array Statistics Modal Analysis Predictive Maintenance Toolbox 36

33 Unique Platform Combination Powering New Applications Control Systems Verification & Validation Model-Based Design Code Generation Big Data Machine Learning Data Analytics Signal and Image Processing 37

34 38

How to build an autonomous anything

How to build an autonomous anything How to build an autonomous anything Loren Shure Application Engineering MathWorks 2015 The MathWorks, Inc. 1 2 3 4 5 6 7 Autonomous Technology 8 Autonomous Technology Having the power for self-governance

More information

How to build an autonomous anything

How to build an autonomous anything How to build an autonomous anything Jim Tung jim@mathworks.com 2015 The MathWorks, Inc. 1 2 3 4 5 6 7 Autonomous Technology 8 Autonomy Having the power for self-governance 9 Autonomous Technology Provides

More information

Model-Based Design for Sensor Systems

Model-Based Design for Sensor Systems 2009 The MathWorks, Inc. Model-Based Design for Sensor Systems Stephanie Kwan Applications Engineer Agenda Sensor Systems Overview System Level Design Challenges Components of Sensor Systems Sensor Characterization

More information

KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN?

KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN? KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN? Marc Stampfli https://www.linkedin.com/in/marcstampfli/ https://twitter.com/marc_stampfli E-Mail: mstampfli@nvidia.com INTELLIGENT ROBOTS AND SMART MACHINES

More information

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 Product Vision Company Introduction Apostera GmbH with headquarter in Munich, was

More information

DEEP LEARNING A NEW COMPUTING MODEL. Sundara R Nagalingam Head Deep Learning Practice

DEEP LEARNING A NEW COMPUTING MODEL. Sundara R Nagalingam Head Deep Learning Practice DEEP LEARNING A NEW COMPUTING MODEL Sundara R Nagalingam Head Deep Learning Practice snagalingam@nvidia.com THE ERA OF AI AI CLOUD MOBILE PC 2 DEEP LEARNING Raw data Low-level features Mid-level features

More information

Embedding Artificial Intelligence into Our Lives

Embedding Artificial Intelligence into Our Lives Embedding Artificial Intelligence into Our Lives Michael Thompson, Synopsys D&R IP-SOC DAYS Santa Clara April 2018 1 Agenda Introduction What AI is and is Not Where AI is being used Rapid Advance of AI

More information

Autonomous driving made safe

Autonomous driving made safe tm Autonomous driving made safe Founder, Bio Celite Milbrandt Austin, Texas since 1998 Founder of Slacker Radio In dash for Tesla, GM, and Ford. 35M active users 2008 Chief Product Officer of RideScout

More information

A Winning Combination

A Winning Combination A Winning Combination Risk factors Statements in this presentation that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such

More information

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Dr. Andreas Kuhn A N D A T A München, 2017-06-27 2 Fields of Competence Artificial Intelligence Data Mining Big

More information

GPU ACCELERATED DEEP LEARNING WITH CUDNN

GPU ACCELERATED DEEP LEARNING WITH CUDNN GPU ACCELERATED DEEP LEARNING WITH CUDNN Larry Brown Ph.D. March 2015 AGENDA 1 Introducing cudnn and GPUs 2 Deep Learning Context 3 cudnn V2 4 Using cudnn 2 Introducing cudnn and GPUs 3 HOW GPU ACCELERATION

More information

Physics Based Sensor simulation

Physics Based Sensor simulation Physics Based Sensor simulation Jordan Gorrochotegui - Product Manager Software and Services Mike Phillips Software Engineer Restricted Siemens AG 2017 Realize innovation. Siemens offers solutions across

More information

THE NEXT WAVE OF COMPUTING. September 2017

THE NEXT WAVE OF COMPUTING. September 2017 THE NEXT WAVE OF COMPUTING September 2017 SAFE HARBOR Forward-Looking Statements Except for the historical information contained herein, certain matters in this presentation including, but not limited

More information

Sensing, Computing, Communication

Sensing, Computing, Communication The Transformative Fusion of Sensing, Computing, Communication & Control Richard Rovner Vice President, Marketing MathWorks @RichardRovner 1 Three Key Points 1. Technologies are fusing together to transform

More information

TOOLS AND PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Spring 2017 Computer Vision Developer Survey

TOOLS AND PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Spring 2017 Computer Vision Developer Survey TOOLS AND PROCESSORS FOR COMPUTER VISION Selected Results from the Embedded Vision Alliance s Spring 2017 Computer Vision Developer Survey 1 EXECUTIVE SUMMARY Since 2015, the Embedded Vision Alliance has

More information

TOOLS & PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Computer Vision Developer Survey

TOOLS & PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Computer Vision Developer Survey TOOLS & PROCESSORS FOR COMPUTER VISION Selected Results from the Embedded Vision Alliance s Computer Vision Developer Survey JANUARY 2019 EXECUTIVE SUMMA Y Since 2015, the Embedded Vision Alliance has

More information

Embracing Complexity. Gavin Walker Development Manager

Embracing Complexity. Gavin Walker Development Manager Embracing Complexity Gavin Walker Development Manager 1 MATLAB and Simulink Proven Ability to Make the Complex Simpler 1970 Stanford Ph.D. thesis, with thousands of lines of Fortran code 2 MATLAB and Simulink

More information

Artificial intelligence, made simple. Written by: Dale Benton Produced by: Danielle Harris

Artificial intelligence, made simple. Written by: Dale Benton Produced by: Danielle Harris Artificial intelligence, made simple Written by: Dale Benton Produced by: Danielle Harris THE ARTIFICIAL INTELLIGENCE MARKET IS SET TO EXPLODE AND NVIDIA, ALONG WITH THE TECHNOLOGY ECOSYSTEM INCLUDING

More information

Sensing, Computing, Communication

Sensing, Computing, Communication The Transformative Fusion of Sensing, Computing, Communication & Control 1 Three Key Points 1. Data driven decisions and algorithm design are accelerating innovation. 2. Four core technologies are fusing

More information

MATLAB DIGITAL IMAGE/SIGNAL PROCESSING TITLES

MATLAB DIGITAL IMAGE/SIGNAL PROCESSING TITLES MATLAB DIGITAL IMAGE/SIGNAL PROCESSING TITLES -2018 S.NO PROJECT CODE 1 ITIMP01 2 ITIMP02 3 ITIMP03 4 ITIMP04 5 ITIMP05 6 ITIMP06 7 ITIMP07 8 ITIMP08 9 ITIMP09 `10 ITIMP10 11 ITIMP11 12 ITIMP12 13 ITIMP13

More information

신경망기반자동번역기술. Konkuk University Computational Intelligence Lab. 김강일

신경망기반자동번역기술. Konkuk University Computational Intelligence Lab.  김강일 신경망기반자동번역기술 Konkuk University Computational Intelligence Lab. http://ci.konkuk.ac.kr kikim01@kunkuk.ac.kr 김강일 Index Issues in AI and Deep Learning Overview of Machine Translation Advanced Techniques in

More information

DEEP LEARNING ON RF DATA. Adam Thompson Senior Solutions Architect March 29, 2018

DEEP LEARNING ON RF DATA. Adam Thompson Senior Solutions Architect March 29, 2018 DEEP LEARNING ON RF DATA Adam Thompson Senior Solutions Architect March 29, 2018 Background Information Signal Processing and Deep Learning Radio Frequency Data Nuances AGENDA Complex Domain Representations

More information

TOOLS & PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Fall 2017 Computer Vision Developer Survey

TOOLS & PROCESSORS FOR COMPUTER VISION. Selected Results from the Embedded Vision Alliance s Fall 2017 Computer Vision Developer Survey TOOLS & PROCESSORS FOR COMPUTER VISION Selected Results from the Embedded Vision Alliance s Fall 2017 Computer Vision Developer Survey ABOUT THE EMBEDDED VISION ALLIANCE EXECUTIVE SUMMA Y Since 2015, the

More information

Fundamentals of Industrial Control

Fundamentals of Industrial Control Fundamentals of Industrial Control 2nd Edition D. A. Coggan, Editor Practical Guides for Measurement and Control Preface ix Contributors xi Chapter 1 Sensors 1 Applications of Instrumentation 1 Introduction

More information

Sensing, Computing, Communication

Sensing, Computing, Communication The Transformative Fusion of Sensing, Computing, Communication & Control 1 Three Key Points 1. Technologies are fusing together to transform industries, companies, employment, and education. 2. This is

More information

VSI Labs The Build Up of Automated Driving

VSI Labs The Build Up of Automated Driving VSI Labs The Build Up of Automated Driving October - 2017 Agenda Opening Remarks Introduction and Background Customers Solutions VSI Labs Some Industry Content Opening Remarks Automated vehicle systems

More information

interactive IP: Perception platform and modules

interactive IP: Perception platform and modules interactive IP: Perception platform and modules Angelos Amditis, ICCS 19 th ITS-WC-SIS76: Advanced integrated safety applications based on enhanced perception, active interventions and new advanced sensors

More information

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time The Key to the Internet-of-Things: Conquering Complexity One Step at a Time at IEEE QRS2017 Prague, CZ June 19, 2017 Adam T. Drobot Wayne, PA 19087 Outline What is IoT? Where is IoT in its evolution? A

More information

Combining ROS and AI for fail-operational automated driving

Combining ROS and AI for fail-operational automated driving Combining ROS and AI for fail-operational automated driving Prof. Dr. Daniel Watzenig Virtual Vehicle Research Center, Graz, Austria and Institute of Automation and Control at Graz University of Technology

More information

Deep learning for INTELLIGENT machines

Deep learning for INTELLIGENT machines Deep learning for INTELLIGENT machines GAMING DESIGN ENTERPRISE VIRTUALIZATION HPC & CLOUD SERVICE PROVIDERS INTELLIGENT MACHINES THE WORLD LEADER IN VISUAL COMPUTING 2 3 APPLICATIONS OF DEEP LEARNING

More information

Artificial Intelligence Machine learning and Deep Learning: Trends and Tools. Dr. Shaona

Artificial Intelligence Machine learning and Deep Learning: Trends and Tools. Dr. Shaona Artificial Intelligence Machine learning and Deep Learning: Trends and Tools Dr. Shaona Ghosh @shaonaghosh What is Machine Learning? Computer algorithms that learn patterns in data automatically from large

More information

October 6, 2017 DEEP LEARNING TOP 5. Insights into the new computing model

October 6, 2017 DEEP LEARNING TOP 5. Insights into the new computing model October 6, 2017 DEEP LEARNING TOP 5 Insights into the new computing model DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI) AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES

More information

Getting to Smart Paul Barnard Design Automation

Getting to Smart Paul Barnard Design Automation Getting to Smart Paul Barnard Design Automation paul.barnard@mathworks.com 2012 The MathWorks, Inc. Getting to Smart WHO WHAT HOW autonomous, responsive, multifunction, adaptive, transformable, and smart

More information

A.I in Automotive? Why and When.

A.I in Automotive? Why and When. A.I in Automotive? Why and When. AGENDA 01 02 03 04 Definitions A.I? A.I in automotive Now? Next big A.I breakthrough in Automotive 01 DEFINITIONS DEFINITIONS Artificial Intelligence Artificial Intelligence:

More information

Design and Verification of High Efficiency Power Amplifier Systems

Design and Verification of High Efficiency Power Amplifier Systems Design and Verification of High Efficiency Power Amplifier Systems Sean Lynch Platform Engineering Manager MATLAB EXPO 2013 1 What is Nujira? Nujira makes Envelope Tracking Modulators that make power amplifiers

More information

Intelligent Buildings Remote Monitoring Using PI System at the VSB - Technical University of Ostrava Jan Vanus

Intelligent Buildings Remote Monitoring Using PI System at the VSB - Technical University of Ostrava Jan Vanus Intelligent Buildings Remote Monitoring Using PI System at the VSB - Technical University of Ostrava Jan Vanus 1 Presentation Agenda: About VŠB TU Ostrava OSIsoft and Intelligent Building monitoring how

More information

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time The Key to the Internet-of-Things: Conquering Complexity One Step at a Time at IEEE PHM2017 Adam T. Drobot Wayne, PA 19087 Outline What is IoT? Where is IoT in its evolution? A life Cycle View Key ingredients

More information

Developing an Embedded Digital Twin for HVAC Device Diagnostics

Developing an Embedded Digital Twin for HVAC Device Diagnostics Developing an Embedded Digital Twin for HVAC Device Diagnostics Gianluca Bacchiega R&D manager at I.R.S. ni.com Digital twins are becoming a business imperative, covering the entire lifecycle of an asset

More information

Von der Idee bis zur Umsetzung in einer Entwicklungsumgebung State of the Art von Dr. Simon Ginsburg

Von der Idee bis zur Umsetzung in einer Entwicklungsumgebung State of the Art von Dr. Simon Ginsburg Von der Idee bis zur Umsetzung in einer Entwicklungsumgebung State of the Art von Dr. Simon Ginsburg 2013 The MathWorks, Inc. 1 Key Takeaways Model-Based Design drives innovation scales for enterprises

More information

MATLAB 및 Simulink 를이용한운전자지원시스템개발

MATLAB 및 Simulink 를이용한운전자지원시스템개발 MATLAB 및 Simulink 를이용한운전자지원시스템개발 김종헌차장 Senior Application Engineer MathWorks Korea 2015 The MathWorks, Inc. 1 Example : Sensor Fusion with Monocular Vision & Radar Configuration Monocular Vision installed

More information

Deep Learning Overview

Deep Learning Overview Deep Learning Overview Eliu Huerta Gravity Group gravity.ncsa.illinois.edu National Center for Supercomputing Applications Department of Astronomy University of Illinois at Urbana-Champaign Data Visualization

More information

From Sensor to Data Driven Operation

From Sensor to Data Driven Operation From Sensor to Data Driven Operation Emo van Halsema evanhalsema@lely.com Topics Introduction Lely : farming innovators Industry 4.0 and other buzz words Data, Artificial Intelligence : what, why, how?

More information

Perception platform and fusion modules results. Angelos Amditis - ICCS and Lali Ghosh - DEL interactive final event

Perception platform and fusion modules results. Angelos Amditis - ICCS and Lali Ghosh - DEL interactive final event Perception platform and fusion modules results Angelos Amditis - ICCS and Lali Ghosh - DEL interactive final event 20 th -21 st November 2013 Agenda Introduction Environment Perception in Intelligent Transport

More information

Roles of Artificial Intelligence and Machine Learning in Future Mobility

Roles of Artificial Intelligence and Machine Learning in Future Mobility Roles of Artificial Intelligence and Machine Learning in Future Mobility Huang Guangbin Professor of School of Electrical and Electronic Engineering Nanyang Technological University, Singapore ITU/IMDA

More information

Neural Networks The New Moore s Law

Neural Networks The New Moore s Law Neural Networks The New Moore s Law Chris Rowen, PhD, FIEEE CEO Cognite Ventures December 216 Outline Moore s Law Revisited: Efficiency Drives Productivity Embedded Neural Network Product Segments Efficiency

More information

DENSO www. densocorp-na.com

DENSO www. densocorp-na.com DENSO www. densocorp-na.com Machine Learning for Automated Driving Description of Project DENSO is one of the biggest tier one suppliers in the automotive industry, and one of its main goals is to provide

More information

Predicting Oil Well Failures without the Hazardous Area Restrictions of the Past SIMULARITY & AEGEX CASE STUDY

Predicting Oil Well Failures without the Hazardous Area Restrictions of the Past SIMULARITY & AEGEX CASE STUDY Predicting Oil Well Failures without the Hazardous Area Restrictions of the Past SIMULARITY & AEGEX CASE STUDY Using Real-Time Analytics, Downhole Sensor Data, and Hazardous Area Tablets & Sensors to Predict

More information

A Roadmap for Connected & Autonomous Vehicles. David Skipp Ford Motor Company

A Roadmap for Connected & Autonomous Vehicles. David Skipp Ford Motor Company A Roadmap for Connected & Autonomous Vehicles David Skipp Ford Motor Company ! Why does an Autonomous Vehicle need a roadmap? Where might the roadmap take us? What should we focus on next? Why does an

More information

OUR RELENTLESS PURSUIT: Applying 3D Video / VR /AR ON THE ROAD TO ZERO

OUR RELENTLESS PURSUIT: Applying 3D Video / VR /AR ON THE ROAD TO ZERO OUR RELENTLESS PURSUIT: Applying 3D Video / VR /AR ON THE ROAD TO ZERO Consumers Energy Doug Hill 3DInternet Brian Doubinin Dramatic drop of 37% in recordables. Best in Company History. (2007 to 2008)

More information

Revolutionize the Service Industries with AI 2016 Service Robot

Revolutionize the Service Industries with AI 2016 Service Robot Revolutionize the Service Industries with AI 2016 Service Robot Clever-m 632 Robot Intelligence Laboratory Jonathan.Xu Standing Vice Director Outline 1 Industry Trends 2 States of Service Robot 3 Powered

More information

Software Computer Vision - Driver Assistance

Software Computer Vision - Driver Assistance Software Computer Vision - Driver Assistance Work @Bosch for developing desktop, web or embedded software and algorithms / computer vision / artificial intelligence for Driver Assistance Systems and Automated

More information

SIS63-Building the Future-Advanced Integrated Safety Applications: interactive Perception platform and fusion modules results

SIS63-Building the Future-Advanced Integrated Safety Applications: interactive Perception platform and fusion modules results SIS63-Building the Future-Advanced Integrated Safety Applications: interactive Perception platform and fusion modules results Angelos Amditis (ICCS) and Lali Ghosh (DEL) 18 th October 2013 20 th ITS World

More information

AI Application Processing Requirements

AI Application Processing Requirements AI Application Processing Requirements 1 Low Medium High Sensor analysis Activity Recognition (motion sensors) Stress Analysis or Attention Analysis Audio & sound Speech Recognition Object detection Computer

More information

Job Title: DATA SCIENTIST. Location: Champaign, Illinois. Monsanto Innovation Center - Let s Reimagine Together

Job Title: DATA SCIENTIST. Location: Champaign, Illinois. Monsanto Innovation Center - Let s Reimagine Together Job Title: DATA SCIENTIST Employees at the Innovation Center will help accelerate Monsanto s growth in emerging technologies and capabilities including engineering, data science, advanced analytics, operations

More information

Pramod Kumar Naik Senior Application Engineer MathWorks Products

Pramod Kumar Naik Senior Application Engineer MathWorks Products MATLAB & SIMULINK Pramod Kumar Naik Senior Application Engineer MathWorks Products 2 Enabling Excellence Through Innovation System Engineering Intellectual Property (IP) EDA & Semiconductor University

More information

Architectures For Intelligence The 22nd Carnegie Mellon Symposium On Cognition Carnegie Mellon Symposia On Cognition Series

Architectures For Intelligence The 22nd Carnegie Mellon Symposium On Cognition Carnegie Mellon Symposia On Cognition Series Architectures For Intelligence The 22nd Carnegie Mellon Symposium On Cognition Carnegie Mellon Symposia On We have made it easy for you to find a PDF Ebooks without any digging. And by having access to

More information

Using Deep Learning for Sentiment Analysis and Opinion Mining

Using Deep Learning for Sentiment Analysis and Opinion Mining Using Deep Learning for Sentiment Analysis and Opinion Mining Gauging opinions is faster and more accurate. Abstract How does a computer analyze sentiment? How does a computer determine if a comment or

More information

ADAS COMPUTER VISION AND AUGMENTED REALITY SOLUTION

ADAS COMPUTER VISION AND AUGMENTED REALITY SOLUTION ENGINEERING ENERGY TELECOM TRAVEL AND AVIATION SOFTWARE FINANCIAL SERVICES ADAS COMPUTER VISION AND AUGMENTED REALITY SOLUTION Sergii Bykov, Technical Lead TECHNOLOGY AUTOMOTIVE Product Vision Road To

More information

Preprocessing & Feature Extraction in Signal Processing Applications

Preprocessing & Feature Extraction in Signal Processing Applications Preprocessing & Feature Extraction in Signal Processing Applications Rick Gentile Product Manager Signal Processing and Communications 2015 The MathWorks, Inc. 1 Signals and Data are Everywhere phase acceleration

More information

Intelligent Technology for More Advanced Autonomous Driving

Intelligent Technology for More Advanced Autonomous Driving FEATURED ARTICLES Autonomous Driving Technology for Connected Cars Intelligent Technology for More Advanced Autonomous Driving Autonomous driving is recognized as an important technology for dealing with

More information

FRAUNHOFER INSTITUTE FOR OPEN COMMUNICATION SYSTEMS FOKUS COMPETENCE CENTER VISCOM

FRAUNHOFER INSTITUTE FOR OPEN COMMUNICATION SYSTEMS FOKUS COMPETENCE CENTER VISCOM FRAUNHOFER INSTITUTE FOR OPEN COMMUNICATION SYSTEMS FOKUS COMPETENCE CENTER VISCOM SMART ALGORITHMS FOR BRILLIANT PICTURES The Competence Center Visual Computing of Fraunhofer FOKUS develops visualization

More information

Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed

Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed AUTOMOTIVE Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed Yoshiaki HAYASHI*, Izumi MEMEZAWA, Takuji KANTOU, Shingo OHASHI, and Koichi TAKAYAMA ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

More information

Applied Applied Artificial Intelligence - a (short) Silicon Valley appetizer

Applied Applied Artificial Intelligence - a (short) Silicon Valley appetizer Applied Applied Artificial Intelligence - a (short) Silicon Valley appetizer ATV tech Talk, 4. May, 2018 Martin Broch Pedersen Innovation Center Denmark, Silicon Valley Carlsberg turns to AI to help develop

More information

Number Plate Recognition Using Segmentation

Number Plate Recognition Using Segmentation Number Plate Recognition Using Segmentation Rupali Kate M.Tech. Electronics(VLSI) BVCOE. Pune 411043, Maharashtra, India. Dr. Chitode. J. S BVCOE. Pune 411043 Abstract Automatic Number Plate Recognition

More information

What is New in Wireless System Design

What is New in Wireless System Design What is New in Wireless System Design Houman Zarrinkoub, PhD. houmanz@mathworks.com 2015 The MathWorks, Inc. 1 Agenda Landscape of Wireless Design Our Wireless Initiatives Antenna-to-Bit simulation Smart

More information

Knowledge Enhanced Electronic Logic for Embedded Intelligence

Knowledge Enhanced Electronic Logic for Embedded Intelligence The Problem Knowledge Enhanced Electronic Logic for Embedded Intelligence Systems (military, network, security, medical, transportation ) are getting more and more complex. In future systems, assets will

More information

Partnering: Labs and Small Businesses

Partnering: Labs and Small Businesses Partnering: Labs and Small Businesses NATIONAL SBIR/STTR FALL CONFERENCE Nov 13, 2014 Alex Athey, Ph.D. Applied Research Laboratories The University of Texas at Austin alex.athey@arlut.utexas.edu 512-777-1616

More information

SHALE ANALYTICS. INTELLIGENT SOLUTIONS, INC.

SHALE ANALYTICS.   INTELLIGENT SOLUTIONS, INC. A Short Course for the Oil & Gas Industry Professionals SHALE INSTRUCTOR: Shahab D. Mohaghegh, Ph. D. Intelligent Solution, Inc. Professor of Petroleum & Natural Gas Engineering West Virginia University

More information

MACHINE LEARNING Games and Beyond. Calvin Lin, NVIDIA

MACHINE LEARNING Games and Beyond. Calvin Lin, NVIDIA MACHINE LEARNING Games and Beyond Calvin Lin, NVIDIA THE MACHINE LEARNING ERA IS HERE And it is transforming every industry... including Game Development OVERVIEW NVIDIA Volta: An Architecture for Machine

More information

ARTIFICIAL INTELLIGENCE (AI): HYPE OR HOPE?

ARTIFICIAL INTELLIGENCE (AI): HYPE OR HOPE? INNOVATION PLATFORM WHITE PAPER AI was coined as a term in 956 at a Dartmouth College Computer Science conference. It refers to a line of research that seeks to replicate the characteristics of human intelligence.

More information

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor ADAS Development using Advanced Real-Time All-in-the-Loop Simulators Roberto De Vecchi VI-grade Enrico Busto - AddFor The Scenario The introduction of ADAS and AV has created completely new challenges

More information

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems Walt Truszkowski, Harold L. Hallock, Christopher Rouff, Jay Karlin, James Rash, Mike Hinchey, and Roy Sterritt Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations

More information

Powerful But Limited: A DARPA Perspective on AI. Arati Prabhakar Director, DARPA

Powerful But Limited: A DARPA Perspective on AI. Arati Prabhakar Director, DARPA Powerful But Limited: A DARPA Perspective on AI Arati Prabhakar Director, DARPA Artificial intelligence Three waves of AI technology (so far) Handcrafted knowledge Statistical learning Contextual adaptation

More information

MORE POWER TO THE ENERGY AND UTILITIES BUSINESS, FROM AI.

MORE POWER TO THE ENERGY AND UTILITIES BUSINESS, FROM AI. MORE POWER TO THE ENERGY AND UTILITIES BUSINESS, FROM AI www.infosys.com/aimaturity The current utility business model is under pressure from multiple fronts customers, prices, competitors, regulators,

More information

Adopting Standards For a Changing Health Environment

Adopting Standards For a Changing Health Environment Adopting Standards For a Changing Health Environment November 16, 2018 W. Ed Hammond. Ph.D., FACMI, FAIMBE, FIMIA, FHL7, FIAHSI Director, Duke Center for Health Informatics Director, Applied Informatics

More information

5G R&D at Huawei: An Insider Look

5G R&D at Huawei: An Insider Look 5G R&D at Huawei: An Insider Look Accelerating the move from theory to engineering practice with MATLAB and Simulink Huawei is the largest networking and telecommunications equipment and services corporation

More information

Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving

Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving Dr. Houssem Abdellatif Global Head Autonomous Driving & ADAS TÜV SÜD Auto Service Christian Gnandt Lead Engineer

More information

Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica. Copyright 2016 Xilinx

Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica. Copyright 2016 Xilinx Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica Xilinx Vision with Precision Webinar Series Perceiving Environment / Taking Action: AR / VR Monitoring

More information

William Milam Ford Motor Co

William Milam Ford Motor Co Sharing technology for a stronger America Verification Challenges in Automotive Embedded Systems William Milam Ford Motor Co Chair USCAR CPS Task Force 10/20/2011 What is USCAR? The United States Council

More information

Challenges in Transition

Challenges in Transition Challenges in Transition Keynote talk at International Workshop on Software Engineering Methods for Parallel and High Performance Applications (SEM4HPC 2016) 1 Kazuaki Ishizaki IBM Research Tokyo kiszk@acm.org

More information

Dr George Gillespie. CEO HORIBA MIRA Ltd. Sponsors

Dr George Gillespie. CEO HORIBA MIRA Ltd. Sponsors Dr George Gillespie CEO HORIBA MIRA Ltd Sponsors Intelligent Connected Vehicle Roadmap George Gillespie September 2017 www.automotivecouncil.co.uk ICV Roadmap built on Travellers Needs study plus extensive

More information

Model-Based Design as an Enabler for Supply Chain Collaboration

Model-Based Design as an Enabler for Supply Chain Collaboration CO-DEVELOPMENT MANUFACTURING INNOVATION & SUPPORT Model-Based Design as an Enabler for Supply Chain Collaboration Richard Mijnheer, CEO, 3T Stephan van Beek, Technical Manager, MathWorks Richard Mijnheer

More information

Israel Railways No Fault Liability Renewal The Implementation of New Technological Safety Devices at Level Crossings. Amos Gellert, Nataly Kats

Israel Railways No Fault Liability Renewal The Implementation of New Technological Safety Devices at Level Crossings. Amos Gellert, Nataly Kats Mr. Amos Gellert Technological aspects of level crossing facilities Israel Railways No Fault Liability Renewal The Implementation of New Technological Safety Devices at Level Crossings Deputy General Manager

More information

Pannel: SIGNAL 2018 Advances on Sensing Techniques and Signal Processing

Pannel: SIGNAL 2018 Advances on Sensing Techniques and Signal Processing Pannel: SIGNAL 2018 Advances on Sensing Techniques and Signal Processing Moderator : Pr. Wilfried Uhring University of Strasbourg and CNRS Pannel List : Özgür Tamer, Dokuz Eylül Üniversitesi, Turkey Laurent

More information

Enhancing Shipboard Maintenance with Augmented Reality

Enhancing Shipboard Maintenance with Augmented Reality Enhancing Shipboard Maintenance with Augmented Reality CACI Oxnard, CA Dennis Giannoni dgiannoni@caci.com (805) 288-6630 INFORMATION DEPLOYED. SOLUTIONS ADVANCED. MISSIONS ACCOMPLISHED. Agenda Virtual

More information

Human-Centric Trusted AI for Data-Driven Economy

Human-Centric Trusted AI for Data-Driven Economy Human-Centric Trusted AI for Data-Driven Economy Masugi Inoue 1 and Hideyuki Tokuda 2 National Institute of Information and Communications Technology inoue@nict.go.jp 1, Director, International Research

More information

11/13/18. Introduction to RNNs for NLP. About Me. Overview SHANG GAO

11/13/18. Introduction to RNNs for NLP. About Me. Overview SHANG GAO Introduction to RNNs for NLP SHANG GAO About Me PhD student in the Data Science and Engineering program Took Deep Learning last year Work in the Biomedical Sciences, Engineering, and Computing group at

More information

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline?

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Digital Transformation A Game Changer How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Manfred Broy Technische Universität München Institut for Informatics ... the change

More information

Unlock the power of location. Gjermund Jakobsen ITS Konferansen 2017

Unlock the power of location. Gjermund Jakobsen ITS Konferansen 2017 Unlock the power of location Gjermund Jakobsen ITS Konferansen 2017 50B 200 Countries mapped HERE in numbers Our world in numbers 7,000+ Employees in 56 countries focused on delivering the world s best

More information

How Machine Learning and AI Are Disrupting the Current Healthcare System. Session #30, March 6, 2018 Cris Ross, CIO Mayo Clinic, Jim Golden, PwC

How Machine Learning and AI Are Disrupting the Current Healthcare System. Session #30, March 6, 2018 Cris Ross, CIO Mayo Clinic, Jim Golden, PwC How Machine Learning and AI Are Disrupting the Current Healthcare System Session #30, March 6, 2018 Cris Ross, CIO Mayo Clinic, Jim Golden, PwC 1 Conflicts of Interest: Christopher Ross, MBA Has no real

More information

arxiv: v1 [cs.ce] 9 Jan 2018

arxiv: v1 [cs.ce] 9 Jan 2018 Predict Forex Trend via Convolutional Neural Networks Yun-Cheng Tsai, 1 Jun-Hao Chen, 2 Jun-Jie Wang 3 arxiv:1801.03018v1 [cs.ce] 9 Jan 2018 1 Center for General Education 2,3 Department of Computer Science

More information

NCCT IEEE PROJECTS ADVANCED ROBOTICS SOLUTIONS. Latest Projects, in various Domains. Promise for the Best Projects

NCCT IEEE PROJECTS ADVANCED ROBOTICS SOLUTIONS. Latest Projects, in various Domains. Promise for the Best Projects NCCT Promise for the Best Projects IEEE PROJECTS in various Domains Latest Projects, 2009-2010 ADVANCED ROBOTICS SOLUTIONS EMBEDDED SYSTEM PROJECTS Microcontrollers VLSI DSP Matlab Robotics ADVANCED ROBOTICS

More information

By Mark Hindsbo Vice President and General Manager, ANSYS

By Mark Hindsbo Vice President and General Manager, ANSYS By Mark Hindsbo Vice President and General Manager, ANSYS For the products of tomorrow to become a reality, engineering simulation must change. It will evolve to be the tool for every engineer, for every

More information

WTIC Crowd Sourcing Projects

WTIC Crowd Sourcing Projects WTIC Crowd Sourcing Projects WTIC Program Manager: Gary Pokodner 10/17/2018 1 Crowd Sourcing Visibility Information Goals Determine whether Crowd Sourcing weather information using cameras produces useful

More information

LEGO car course topics

LEGO car course topics LEGO car course topics Xiebing Wang, Xiang Gao, Biao Hu, Kai Huang Chair of Robotics and Embedded Systems Department of Informatiks Technische Universität München Xiebing Wang, Xiang Gao, Biao Hu, Kai

More information

Mobile Cognitive Indoor Assistive Navigation for the Visually Impaired

Mobile Cognitive Indoor Assistive Navigation for the Visually Impaired 1 Mobile Cognitive Indoor Assistive Navigation for the Visually Impaired Bing Li 1, Manjekar Budhai 2, Bowen Xiao 3, Liang Yang 1, Jizhong Xiao 1 1 Department of Electrical Engineering, The City College,

More information

Digital Sensing Technology for Visualizing Sites

Digital Sensing Technology for Visualizing Sites Hitachi Review Vol. 65 (2016), No. 9 445 Featured Articles Digital Sensing Technology for Visualizing Sites Takashi Oshima, Ph.D. Tsukasa Fujimori Hisanori Matsumoto Akira Kuriyama Hideaki Kurata OVERVIEW:

More information

Electrical and Automation Engineering, Fall 2018 Spring 2019, modules and courses inside modules.

Electrical and Automation Engineering, Fall 2018 Spring 2019, modules and courses inside modules. Electrical and Automation Engineering, Fall 2018 Spring 2019, modules and courses inside modules. Period 1: 27.8.2018 26.10.2018 MODULE INTRODUCTION TO AUTOMATION ENGINEERING This module introduces the

More information

MSc(CompSc) List of courses offered in

MSc(CompSc) List of courses offered in Office of the MSc Programme in Computer Science Department of Computer Science The University of Hong Kong Pokfulam Road, Hong Kong. Tel: (+852) 3917 1828 Fax: (+852) 2547 4442 Email: msccs@cs.hku.hk (The

More information

{ TECHNOLOGY CHANGES } EXECUTIVE FOCUS TRANSFORMATIVE TECHNOLOGIES. & THE ENGINEER Engineering and technology

{ TECHNOLOGY CHANGES } EXECUTIVE FOCUS TRANSFORMATIVE TECHNOLOGIES. & THE ENGINEER Engineering and technology { TECHNOLOGY CHANGES } EXECUTIVE FOCUS By Mark Strandquest TECHNOLOGIES & THE ENGINEER Engineering and technology are forever intertwined. By definition, engineering is the application of knowledge in

More information