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Canada – Germany Industrial AI SolutionsMatchmaking Event – June 9, 2020
2
Dr. Geneviève TanguayVice-President Emerging Technologies National Research Council Canada (NRC)
Mr. Ghislain RobichaudCounsellor Science and Technology, Global Affairs Canada, Embassy of Canada, Berlin
Dr. Rainer MüssnerDivision Cooperation with North and South America, German BMBF
National Research Council Canada – GermanyJennifer E. Decker
National Research Council Canada (NRC), Germany
• NRC is Government of Canada's largest federal R&D organization
Mandated to take research from the lab to the marketplace, where it can enhance people's lives and address some of the world's pressing challenges
NRC engages in multiple forms of collaboration and projects span a very broad spectrum of activities and industries
• NRC in Germany is a point of entry for researchers and businesses in Germany who are interested in R&D collaborations with the NRC, or with innovative Canadian companies
6NATIONAL RESEARCH COUNCIL CANADA
NRC Research Centres and Expertise
7NATIONAL RESEARCH COUNCIL CANADA
DIGITAL TECHNOLOGIES • Digital TechnologiesEMERGING TECHNOLOGIES • Advanced Electronics and Photonics
• Herzberg Astronomy and Astrophysics• Metrology • Nanotechnology• Security and Disruptive Technologies
ENGINEERING • Construction• Energy, Mining and Environment• Ocean, Coastal and River Engineering
LIFE SCIENCES • Aquatic and Crop Resource Development• Human Health Therapeutics• Medical Devices
TRANSPORTATION • AerospaceAND MANUFACTURING • Automotive and Surface Transportation
NRC Challenge and Supercluster Programs
• Challenge programso Artificial Intelligence for Designo High Throughput and Secure Networks for Remote/Northern communitieso Disruptive Technologies for Cell and Gene Therapieso Materials Discovery for Clean Fuelso Pandemic Responseo https://nrc.canada.ca/en/research-development/research-collaboration/programs/challenge-programs
• Supercluster Support programso Advanced Manufacturingo Canadian Digital Technology Supercluster Collaboration programo Sustainable Protein Productiono Oceano Artificial Intelligence for Logisticso https://nrc.canada.ca/en/research-development/research-collaboration/programs/supporting-canadas-
innovation-superclusters8NATIONAL RESEARCH COUNCIL CANADA
CONTACT DETAILS
9
National Research Council Canada, GermanyJennifer E. DeckerEmail: [email protected]: +49 89 21 99 57 66
Listing of NRC Research Centres including areas of expertise and facilities:https://nrc.canada.ca/en/research-development/research-collaboration/research-centres
NRC Directory of science professionals:https://nrc.canada.ca/en/corporate/contact-us/nrc-directory-science-professionals
NRC Germanyhttps://nrc.canada.ca/en/research-development/nrc-facilities/national-research-council-canada-germany
NATIONAL RESEARCH COUNCIL CANADA
DLR ProjektträgerBarbara Hellebrandt, Senior Scientific Officer
Your reliable partner for research, education and innovation
Structure and Submission Process in Germany• German consortium• minimum one company, particularly small and medium-sized enterprise (SME) and
one university or non-university research institutions• More partners possible, also on a self-funded basis
• Two-step procedure• „Expression of Interest“ not relevant in German process• First step: project outline („Skizze“), submission deadline Sept. 11, language
German or English, max. 15 pages, plus International Consortium Project Proposal (provided by NRC)
• Evaluation of proposals in Germany and Canada, selection of proposals• Second step: submission of formal application for funding (AZA, AZAP, AZK), only
proposals that have been evaluated positively and selected for funding
• For further information please contact the project funding agency, contact: Barbara Hellebrandt and Claudia Gruner
DLR-PT | June 09, 2020
National Research Council Industrial Research Assistance Program (IRAP)Andrew BauderIndustrial Technology Advisor / National Program Coordinator for Germany
Industrial Research Assistance Program
• Canada’s leading innovation assistance program for SMEs• Accelerates growth of SMEs by providing
• Business and technical advisory services• Linkages• Financial assistance
• Delivered by highly experienced network of more than 250 Industrial Technology Advisors (ITAs) located across Canada
• International programs help connect Canadian SMEs to global value chains
• Collaborative funding programs• Partnership development activities
13NRC IRAP
Eligibility for Canadian SMEs
• Incorporated, for-profit SMEs located in Canada• Fewer than 500 employees• Objective to grow through innovation
• Projects should focus on developing innovative products, processes, or technology-based services
• Project should have high commercial potential• Project should have an obvious advantage and added value
resulting from the collaboration between the partners
14NRC IRAP
Canadian Consortia and Deadlines
• Canadian consortium must include• SME + research institution + NRC researcher
• Lead of Canadian consortia must register by July 3• Qualified registrations will receive an EOI form to be submitted
by July 10• Qualified EOI applicants will be invited to submit an International
Consortium Project Proposal (to be completed with German partners) by September 11
15NRC IRAP
CONTACT DETAILS
16
Andrew BauderNational Research Council Industrial Research Assistance [email protected]
NRC IRAP
National Research Council National Program Office (NPO)Russell GirardChallenger Officer / National Program Office
Eligibility for Canadian Research Institutions
• Post-secondary institutions and research and technology organizations
• Collaborative research and development, prototype development intended to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes
• NRC researchers must be performing work to support the advancement of NRC’s challenge programs or superclustersupport programs objectives
18NRC IRAP
CONTACT DETAILS
19
Russell GirardNational Research Council National Program [email protected]
NRC IRAP
QUESTION & ANSWER SESSION
20
NATIONAL RESEARCH COUNCIL RESEARCHES
GERMAN RESEARCH INSTITUTES
22
Fraunhofer Institute for Ceramic Technologies and Systems IKTSDr. Ulana Cikalova
COMPANY DESCRIPTION
24Fraunhofer Institute for Ceramic Technologies and Systems IKTS
Developments for NDT
Product identification and process tracking
Process control with ceramic luminescent materials.
Testing of CFRP and GFRP
Quality assurance of fiber-reinforced plastics in development, manufacturing and application.
Condition monitoring
Monitoring of public buildings and infrastructures.
Sensor integration
Structurally integrated sensors for automotive industry, wind energy and aviation.
Expertise: evaluation of permeability and residual stressSize of technical team: 5 person
Prototyping: c.e. Barkhausen Noise Demonstrator
COLLABORATION:AREAS OF INTEREST Development of pre-commercial technologies using material
evaluation by Barkhausen Noise (BN) method
Extension of the material characterization capability of the BN method for complex and miniaturized geometries and for the determination of the permeability and residual stress of ferromagnetic materials.
Application of AI-based algorithms thereby considerably improving calibration and thus also application to processes with changing and unknown material properties.
The application of material characterization using the BN method in new manufacturing processes, such as additive manufacturing (AM).
Development of BN to advance characterization and monitoring of case-depth hardening, electric steel and nondestructive measurement of material hardness.
25Fraunhofer Institute for Ceramic Technologies and Systems IKTS
https://mav.industrie.de/allgemein/revolution-in-der-werkzeugherstellung/#slider-intro-4
Novel minimazed BN probe
By SLM produces object
Artificial neural network
COLLABORATION:PROJECTS OF INTEREST
Idea for specific AI project
26Fraunhofer Institute for Ceramic Technologies and Systems IKTS
Dem
onst
rato
r
AI organization
Detection: AISensor DevelopmentReal Barkhausen Noise
Germany: SURAGUS/IKTS
Synthetic Barkhausen NoiseSimulation
Canada: RMC
Mechanical Samples ConditionsApplication market:- Additive Manufacturing- …
Canada: Applier 1 / NRCGermany: Applier 2
CONTACT DETAILS
27
Organisation Name: Fraunhofer IKTSYour Name: Ulana CikalovaEmail Address: [email protected] Number: +49 351 88815-517Company web site: https://www.ikts.fraunhofer.de/en.html
Fraunhofer Institute for Ceramic Technologies and Systems IKTS
ISW - Institute for Control Engineering of Machine Tools and Manufacturing UnitsDr.-Ing. Akos Csiszar
COMPANY DESCRIPTION
ISW - The Institute for Control Engineering of Machine Tools and Manufacturing Units• Research institute of the University of Stuttgart• Approx. 50 researchers (Mech, Elec and SW Engineers)• Main focus on control engineering – from planning to the tool• 50 years of experience in working closely with industrial partners
on R&D Projects
29ISW – University of Stuttgart
COLLABORATION:AREAS OF INTEREST
• Applied AI• Automated Planning and Decision Making
• Classical search and planning systems• Reinforcement learning
• Data Driven Modelling• Learning models from data using supervised learning methods for applications in
control engineering
• Production Technology• Control technology for CNC machines and other production systems• Real-Time Communication Systems (incl. TSN)• Simulation of Production Systems (also used as training environment for AI)
30ISW – University of Stuttgart
COLLABORATION:PROJECTS OF INTEREST
The AutoCAM Project- Automated Planning for Computer
Aided Manufacturing- Goal: reduce the engineering
workload in case of small lot size production
- Create manufacturing plans for CNC machining, automatically, from 3D models using AI methods
31ISW – University of Stuttgart
CONTACT DETAILS
32
ISW – University of Stuttgart
Dr.-Ing. Akos CsiszarE-Mail: [email protected]: +49 711 685-84621Website: www.isw.uni-stuttgart.de
ISW – University of Stuttgart
wbk Institute of Production Science @ Karlsruhe Institute of Technology (KIT)Jonas Hillenbrand, M.Sc.
COMPANY DESCRIPTION
34wbk Institute of Production Science
Machine Learning & Data
Analysis
Data acquisition
and process control
Simulation and
optimization
Digitalization and
networking
Process monitoring &
process control
Optimization of the
operating behavior
Interfaces for modular
production systems
Platforms and Services• Transfer domain knowledge to global
digital services• (Re-) Configuration of production systems
Machines and Processes• Autonomous machines• Value stream kinematics• Fields of application: Cutting, additive
manufacturing, forming
Machine dynamics &
vibration behaviour
Sensor system
development
Geometry optimization
and dimensioning
Intelligent components and sensor systems• Linear axis systems• Clamping device• Drives
Condition & wear
optimization
Research Group: Machine Tools and MechatronicsOur Staff: 3 Professors, 74 Acad. Researchers, 24 Administration
COLLABORATION:PROJECTS OF INTEREST
Research Focus on AI assisted Machine Tools Our Vision: The Autonomous Machine Tool
35wbk Institute of Production Science
RF Agent
RF algorithmobservations
1) Highest Availability
2) Least Operation Cost
3) Longest Operation
4) …
reward
action
policy
• maintenance costs make up large proportion of operating costs
• a lot of status information is already available for mapping the machine status (Sensors, ERP, maintenance logs, etc.)
reinforcement learning agent assists maintenance planning:• maintenance problem is addressed as optimization
problem / target cost function• machine decides itself about maintenance actions• reduces inspection costs• machine automatically finds best composition of the
maintenance program
REINFORCEMENT LEARNING BASED MACHINE MAINTENANCE
CONTACT DETAILS
36
wbk Institute of Production ScienceJonas [email protected]+49 1523 950 2582wbk.kit.edu
wbk Institute of Production Science
Otto-von-Guericke UniversityPaul Geoerg
COMPANY DESCRIPTION
Otto-von-Guericke UniversityMagdeburg, Germany
Faculty of Process- and Systems Engineering
Fire Safety EngineeringPedestrian dynamics Simulation of Crowd Motion, Fires and ExplosionsQuantitative Risk Analysis of Processes
38Otto-von-Guericke University
COLLABORATION:AREAS OF INTEREST
39Otto-von-Guericke University
COLLABORATION:PROJECTS OF INTEREST
40Otto-von-Guericke University andNRC Fire Safety
Status-quo
Proposed solution
CONTACT DETAILS
41
Otto-von-Guericke UniversityPaul [email protected]+49 391 67-58919https://www.vst.ovgu.de/en/
NRC Fire SafetyMax [email protected]+1 514 718 0152https://nrc.canada.ca/en/research-development/nrc-facilities/fire-safety-testing-facility
Otto-von-Guericke University
wbk Institute of Production ScienceKarlsruhe Institute of Technology (KIT)Dr.-Ing. Frederik Zanger
COMPANY DESCRIPTION
43wbk Institute of Production Science
Our strength is comprehensive research in production engineering along the entire value chain!The institute is made up of three main fields of research:
Manufacturing and Materials TechnologyMachines, Equipment and Process AutomationProduction Systems
containing knowledge and experience of selected production technology areas like Lightweight Manufacturing,Electric Mobility, Additive Manufacturing, Industry 4.0 and Sustainable Production.This enables us to explore topics as a whole and develop them in a target orientated way.The Matrix organization enables individual topics to benefit from a huge wealth of knowledge by integratingthem in the current research areas and facilitates a quick and in-depth processing of future orientated cross-sectional areas.
75 researchers35 basic research projects45 Cooperative research projects68 years of professional experience
COLLABORATION:AREAS OF INTEREST
Manufacturing:• Laser Powder Bed Fusion (LPBF)• Machining• In Process Monitoring• Advanced Process Chains• FEM-Modelling• Material Development
AI:• Defect Detection• Surface Engineering• Optimization of Process Strategies
Considering Disturbances• Process Chain Optimization
44wbk Institute of Production Science
COLLABORATION:PROJECTS OF INTEREST
Additive components produced by Laser Powder Bed Fusion (LPBF) must bemachined to produce functional surfaces and tolerances. The requiredconstructional oversize depends largely on the resulting componentdistortion. Distortion can occur during additive manufacturing due to thermalgradients as well as during finishing by machining due to the release ofresidual stresses. Regardless of the reason, component distortion causeshigh manual effort in the finishing of additively manufactured components.Process sensor technology and mechanism knowledge are to serve asinput variables for an AI algorithm to be developed to simplify and acceleratethe product creation process, starting with the design, via additivemanufacturing to finishing, and to avoid expensive tolerances.
45wbk Institute of Production Science
CONTACT DETAILS
46
wbk Institute of Production ScienceDr.-Ing. Frederik [email protected](+49) 1523 950 2633https://www.wbk.kit.edu/
wbk Institute of Production Science
CANADIAN RESEARCH INSTITUTES
47
CARLETON UNIVERSITYAsli Eran – Research Contracts and Agreements OfficerIndustry and Partnership Services
49CARLETON UNIVERSITY
1942 Founded
965Faculty Members
39 PhD Programs
Carleton is a dynamic, interdisciplinary research-intensive university with a creative international approach to research that has led to many significant discoveries and collaborations in science and engineering, business, public policy and the arts.
50% in $2-year compounded increase in external Research Funding
1,000 +Active Research
Projects
80 +Research Centers
50 + Disciplines
# 2Most Sustainable
University in Canada
COMPANY DESCRIPTION
COLLABORATION:AREAS OF INTEREST
CARLETON UNIVERSITY
Carleton University is among the Top Research Universities - Winners Circle- in Canada and actively involved in Artificial Intelligence, with over 125 researchers from 4 faculties, 23 research labs, 13 university departments and institutes (including cross-appointments) actively engaged immensely varied research, with applications as far-ranging as :
Machine learning Accurate algorithm predications, Computer security and
wireless-based systems. Intelligent Transportation Systems Wearable technologies
Cognitive Science Robotics & Artificial Intelligence Robotic and mechatronic systems
analysis and design Real-Time Operating Systems Adaptive and Learning Systems
Some of our AI Collaborators
COLLABORATION:PROJECTS OF INTEREST
51CARLETON UNIVERSITY
At Carleton University, we are applying AI and Machine Learning theory to real-world problems and developing the technologies and procedures of tomorrow – from robotic surgery, to autonomous space exploration, to intelligent information systems, homes, and vehicles.
Carleton University, with its more than 125 Faculty Members and 23 Research Labs involved in AI, is interested in becoming an Academic Partner in the Canada – Germany 3+2 collaborative call with the following expertise:
• Applications of artificial intelligence,
• Evolutionary computing to software engineering
• Agent-based systems, • Object-oriented design and
languages,• Network management and
supervision
• Learning with • complex outputs, • Active learning, • Heterogeneous
learning, • Learning graphical
models
• Robotic analysis, design, and control,
• Machine and biological locomotion,
• Mechatronics, • Linear and nonlinear
control, and simulation, • Virtual reality
CONTACT DETAILS
52
Carleton University
Asli Eran, Industry and Partnership ServicesEmail: [email protected]: +1 613 520 2600 – 4411https://carleton.ca/ips/
CARLETON UNIVERSITY
Royal Military College of CanadaProf. Thomas W. Krause
COMPANY DESCRIPTION
Research and Development in electromagnetic and magnetic nondestructive evaluation methods including:• Eddy Current• Pulsed Eddy Current• Magnetic Barkhausen Noise• Magnetic Adaptive Testing• Passive MagnetometryNational and International CollaboratorsKey Products: Nondestructive Inspection Systems and MethodsTechnical Team: Senior Research Associate, Post Doctoral Fellow, Visiting Scientist, 6 graduate students
54Royal Military College of Canada - Nondestructive Evaluation Development Group
Magnetic Barkhausen noise (BN) analysis using AI & machine learningfor assessment of ferromagnetic steel condition and properties, including microstructure, hardness, stress and permeability.BN is sensitive to:
- Grain size, - Texture, - Inclusions
(e.g. carbon, impurity elements)- Strength and Hardness- Elastic stress - Plastic deformation
COLLABORATION:PROJECTS OF INTEREST
55Royal Military College of Canada - Nondestructive Evaluation Development Group Krause et al. , Micromagnetic Techniques, ASM Handbook Vol. 17, 2018
COLLABORATION:AREAS OF INTEREST
Nondestructive characterization & evaluation of ferromagnetic steel properties:• Microstructure• Magnetic permeability• Case depth hardening• Electrical steel core loss• EmbrittlementSteel materials including:• Steel pipe• Plate/sheet steel• Additive manufactured steel
56Royal Military College of Canada - Nondestructive Evaluation Development Group
www.thetrustedinsight.com/
https://www.sgs.com/en/industrial-manufacturing
CONTACT DETAILS
57
Organisation Name: Royal Military College of CanadaYour Name: Thomas KrauseEmail Address: [email protected] Number: 613 541 6000 ext 6415Company web site: https://www.rmc-cmr.ca/en/physics-space-science/thomas-krause
Company Logo
Royal Military College of Canada - Nondestructive Evaluation Development Group
GERMAN SMALL OR MEDIUM-SIZED ENTERPRISES (SMEs)
58
TROUT GmBHMartin Bussas
COMPANY DESCRIPTION
TROUT GmbH’s business model is based on R&D contracting in the areas of automotive and medical technology and on establishing a product range.With years of experience in biometric data processing, TROUT has extensive knowhow in incorporating artificial intelligence (AI) and machine learning (ML) in their innovative products and solutions.Two notable examples are VitaB where machine learning is used to acquire vitality parameters and to classify cognitive condition; and NivaB where non-invasive determination of blood glucose is performed by impedance spectroscopy with the application of neuronal networks.
60TROUT GmbH
COLLABORATION:AREAS OF INTEREST
Artificial Intelligence becomes more and more important in medical and energy industry and is having great potential for the future design of systems. We would like to start a project in these areas together with a strong partner.Another area is the Autonomous Materials Discovery (AiMade). In an ongoing project we enable a system of chemical reaction with a software based on Machine Learning to become an autonomous and self-regulating plant for the synthesis of chemical products.Here the synthesis of stilbene building blocks is studied.
61TROUT GmbH
COLLABORATION:PROJECTS OF INTEREST
TROUT gained considerable expertise in data processing during automotive and medical technology developments which focused on machine learning and AI. Applications: Vibration analysis and analysis of acceleration values in vehicles, Evaluation of structure-borne noise for predictive maintenance, Prediction of sound insulation of complex materials, Heartbeat detection with radar and deep learning methods
62TROUT GmbH
DatenBergMaximilian Backenstos
Simplify complex production processes with DatenBerg (= Mountains of Data in German)
We offer software for manufacturing companies to:1) Identify quality deviations2) Find root-causes automatically3) Predict quality and get notified about deviations
65DatenBerg
What we did so far – some examples:
Chocolate Compounding Body in white
COLLABORATION:AREAS OF INTEREST
What we bring to the table:Experience out of over 15 manufacturing data analysis projects in food, chemicals, metal parts, injection molding, tunneling,….+ Experience in funding proposals (2x granted H2020 supports)
Open for:- New applications of DatenBerg software (e.g. maple sirup
manufacturing, mining, seafood processing)- Research collaborations for smart data usage (with and without AI) in
manufacturing sites
66DatenBerg
COLLABORATION:PROJECTS OF INTEREST
1) Transfer Learning across manufacturing sitesHow can we transfer the knowledge of one manufacturing (e.g. injection molding) site to another?Can this help to ramp up one production site in another country faster and more efficient?
2) AI for SME manufacturing companies What tools do they need and how can we offer them in a scalable and cost-efficient way?Are there differences between German manufacturing SME’s and Canadian ones in terms of requirements?
3) Sharing is caring – providing data to B2B customerWhat added-value can be generated by providing data across the value chain?What analysis tools/infrastructure would be necessary to share data?
67DatenBerg
CONTACT DETAILS
68
DatenBerg GmbHMaximilian [email protected]+4915140768753www.datenberg.eu
….or let us connect on LinkedIn!
DatenBerg
CANADIAN SMALL OR MEDIUM-SIZED ENTERPRISES (SMEs)
COMPANY DESCRIPTION
Canadian (Alberta) technology company, baüne® is a solutions integrator of smart ecosystems, pioneering with a combination of emerging technologies such as edge computing, physical web, internet of things, remote management system, big data, mobile payments, artificial intelligence and blockchain.
Baüne is a Member of the Intel® IoT Solutions Alliance. This is a global ecosystem of more than 900 industry leaders, offering its Members unique access to Intel® technology, expertise, and go-to-market support—accelerating deployment of best-in-class solutions.
71Baüne Ecosystem Inc.
COLLABORATION:AREAS OF INTEREST
• Hardware: Gateways/Communication Devices, Wearables, Embedded Systems
• ICT Future Project: AI, Digital Health, Blockchain, • Mechatronics: Internet of Medical Thing, Cyber Security & Cloud,
Big Data Analytics, System Integration• Software: Platform-as-a-Service (PaaS), Mobile Apps, Data
Analysis• Value Chain: Design/R&D/Engineering
72Baüne Ecosystem Inc.
COLLABORATION:PROJECTS OF INTERESTThe situation: Healthcare - tracking/identifying abnormal temperature, touchless dispensation and frictionless services
The problem: During this unprecedent time, the healthcare point of care locations are in need to become safer places to give assistance to the patients. Healthcare professional while helping the ill must also take care of their own safety and health, meaning the must change conventional behaviors and restructure daily practices to reduce risk of contacting virus. Although the healthcare system have programs to mitigate the spread of infections, the need of digital transformative solution with touchless and frictionless technologies are more prevalent than ever.
The solution: Technologies like NÜPA with touchless and frictionless products and services 24/7-365 days. It is an IoT Intelligent Kiosk with thermometry technology, touchless dispensation, real-time report, healthcare monitoring, mobile app friendly, 3A compliant screen, using machine learning as a core technology and privacy compliant.
73Baüne Ecosystem Inc.
CONTACT DETAILS
74
Baüne Ecosystem Inc.Aurelien Balondona, P.Eng., [email protected]
Baüne Ecosystem Inc.
Braintoy Inc.Amit Varma
COMPANY DESCRIPTION
Made a machine learning platform to rapidly build and deploy production ML.
Amit Varma Dr. Padma Paul Kwame Asiedu
Team has 50+ years cumulative experience in industrial software and AI/ML.
76Braintoy Inc.
COLLABORATION:AREAS OF INTEREST
Model factory in a governed mlOps pipe
1. Are you a developer who builds industrial AI applications?
2. Are you an organization that wants production ML?
3. Are you a researcher who uses ML for rapid prototyping?
77Braintoy Inc.
COLLABORATION:PROJECTS OF INTEREST
Sample project/s for collaboration:
• Predictive risk-based maintenance of assets, manufacturing defects, equipment failure etc.
• Prescriptive recommendation engines.• Optimization of processes, facilities, or workforce.
You have a defined use case or are already using AI/ML.
78Braintoy Inc.
CONTACT DETAILS
79
Braintoy Inc.Amit [email protected]+1.403.971.2648https://www.braintoy.ai/
Braintoy Inc.
NTWIST Inc.Chowdary Meenavilli
COMPANY DESCRIPTION
81NTWIST Inc.
COLLABORATION:AREAS OF INTEREST
82NTWIST Inc.
Partnership Opportunities:
Industrial Adoption
Technology Commercialization
AI Research
COLLABORATION:PROJECTS OF INTEREST
83NTWIST Inc.
CONTACT DETAILS
84
NTWISTChowdary [email protected]+1-780-807-4023www.ntwist.com
Company Logo
NTWIST Inc.
AnalytikaWill Munoz
COMPANY DESCRIPTION
86
Innovative Industry 4.0 Solutions
Machine Learning Experts
AI Disruptors
Agile Delivery & Project Management Proficiency
Lean Cost-Effective Approach
End-to-End Solutions
COLLABORATION:AREAS OF INTERESTIn terms of this specific program, what are your organization’s AI and/or Manufacturing areas of interest for domestic and/or international collaboration?
87
Industrial Digital Twins
Smart Energy Management and Optimization
Manufacturing Processes Optimization via AI Vision
Industrial Safety improvement via AI Vision & IoT
PROJECTS DELIVERED IN
Inventory Shelf Control & Management via AI Vision
COLLABORATION:PROJECTS OF INTEREST
88
Applied Brain Research Inc.Peter Suma, co-CEOwww.AppliedBrainResearch.com
COMPANY DESCRIPTION
• What: Tools & experts in Dynamic AI. AI compiler, algorithms & world leading team • For: Learning, recognizing, predicting, control and anomaly spotting of time-varying signals • Environments: data center, edge and embedded (car, drone, sensor & phone)• Customers: automotive, semiconductor, military, energy, software, national research labs. Example solutions:
• Patented AI network for learning and predicting multi-dimensional temporal signals, up to 1Mx better than LSTM, with mathematical proof, application to all temporal AI (ASR, video, drone & robot control, sensor signal processing…)
• State-of-the-Art (SotA) ultra-low power ASR for cloud provider• SotA vision processing for automotive manufacturer• Autonomous, low-power drone on-board flight & inspection task control system for infrastructure inspection• Traffic predictor for automotive manufacturer, beat company SotA• Complex dynamics AI learning system for national defence
• Expertise• Dynamic AI processing algorithms modelled after brain circuits (asynchronous, massively parallel, low-power,
dynamic)• First principles AI algorithms & compiler research, design, development• AI software & hardware chip design
• Size of Technical Team: 19 in our experienced AI R&D team (10 AI PhD’s, 4 Masters Engineers, 5 undergrad engineers)
91Applied Brain Research Inc.
COLLABORATION:AREAS OF INTEREST
• Car makers seeking to lower power and raise accuracy for onboard AI systems for vision, sensor processing, traffic prediction and control
• Car, phone, drone, robot, process control makers & military looking for SotA autonomous control system R&D
• Sensor makers looking for more powerful and significantly lower-power embedded AI hardware and software solutions for signal processing (learning, predicting, anomaly detection, system control)
92ORGANISATION NAME
COLLABORATION:PROJECTS OF INTEREST
• All dynamic AI systems projects: Using AI to process signals in time in the data center or embedded in a device.
• The learning, predicting, anomaly-spotting and autonomous systems control for all devices (car, phone, drone, robot, sensor, process control, etc..)
• Advanced SotA autonomous control system development projects
93ORGANISATION NAME
CONTACT DETAILS
94
Applied Brain Research Inc.Peter Sumaco-CEOPeter.Suma@AppliedBrainResearch.com1-416-505-8973www.AppliedBrainResearch.com
ORGANISATION NAME
ContextereCarl ByersCTO & Chief Strategy Officer
Contextere ML Platform for MRO
96Contextere
COLLABORATION:AREAS OF INTEREST
97Contextere
COLLABORATION:PROJECTS OF INTEREST
Intelligent Guidance and Digital Work Enablement for Improved Production Processes
Potential Collaborators:• SMEs with condition monitoring IOT/Sensor technologies• Research organizations focused on human-machine integration in
production environments• Manufacturers with extended value chains
98Contextere
CONTACT DETAILS
99Contextere
Carl ByersCTO & Chief Strategy Officer
[email protected]+1.613.851.1712www.contextere.comwww.linkedin.com/company/contextere/
Deeplite Inc.Davis Sawyer, Co-founder & CPO
101Deeplite Inc.
Montreal HQFounded April 1st 2018 (Incorporated August 2019) within TandemLaunch incubator program11 employees (8 AI experts)
Deeplite Intro
COLLABORATION:AREAS OF INTEREST
102
We use AI to make other AI smaller, faster and more energy efficient
in the cloud and at the edge
Drones, IoT & Surveillance
Robotics & Industrial Automation
Life-critical Medical Devices
Connected & Autonomous Vehicles
Deeplite Inc.
COLLABORATION:PROJECTS OF INTEREST
103
Smart Manufacturing Computer Vision use case• ARM Cortex-M4 (256KB of on chip memory, 1MB of flash)• MobileNetv1 CNN trained on proprietary binary classification dataset• Target optimization metrics are model size (in MB) and accuracy
Deeplite Inc.
link to technical blog
Giatec Scientific Inc.Aali R. Alizadeh, CTO
COMPANY DESCRIPTION
• Established in 2010, Giatec offers IoT solutions to the concrete industry.
• Giatec’s flagship product, SmartRock sensor, has been used in 6,000 projects worldwide to monitor concrete curing and hardening.
• 20 people in the R&D team with expertise in concrete science, software (mobile and cloud) development, and electronic design, manufacturing and AI (4 in data science and machine learning).
• With millions of datapoints collected from SmartRock sensors, Giatec developed Roxi, the first AI program to detect anomalies and predict concrete performance.
106ORGANISATION NAME
COLLABORATION:AREAS OF INTEREST
• Machine learning applications in the construction industry • Wireless sensors • Antenna design • End-to-end IoT solution architecture • Low-power (battery operated) gateways
107ORGANISATION NAME
COLLABORATION:PROJECTS OF INTEREST
• To expand the capabilities of Roxi, we need to access more data from local concrete producers in different countries.
• The wireless SmartRock sensors utilize BLE with limitation on the depth of installation inside concrete. We are interested to explore areas of improvement in the BLE signal range.
• From IoT perspective, we are interested to collaborate on the development of robust local hub solutions to collect sensor and jobsite data.
108ORGANISATION NAME
Pleora Technologies Inc.Jonathan Hou
Our Company
Founded in 2000 with a vision to utilize Ethernet technology to simplify high-performance video transport
Experts in high-reliability, low-latency hardware and software solutions for intelligent imaging applications and AI
Founding member of GigE Vision standard
Simplifying vision development an deployments
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COLLABORATION:AREAS OF INTERESTMachine Vision, automation & integration with Industry 4.0
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Level 0: Human Controlled
Level 1: Early Automation
Level 2: Modern Factory
Level 3: IT / OT Integrated
Level 4:Digitally Transformed
Level 5: Lights Out
Manual processes for visual inspection and handwritten reports
Central PC architecture in MV architecture for traditional computer vision
Networked cameras and wired networking infrastructure to integrate with factory systems like ERP
Inclusion of AI algorithms in embedded devices
Embedded learning in conjunction with existing PC architecture connected over GigE Vision networks
Replacing PCs with embedded learning devices, leveraging distributed architecture
Start leveraging wireless protocols in parallel with WiFi 6 and 5G
Leverage multiple sensor types (3D, hyperspectral) to augment inspection
Leveraging the intersection of GigE Vision and OPCUA networking protocols to allow embedded device and sensor communication (M2M)
Use of 5G and WiFi6 technologies for networking
Cloud-based systems to manage learning and training data
COLLABORATION:PROJECTS OF INTEREST
The Pleora AI Gateway is a platform for deployment of “plug-ins” for machine vision and AI applications. We are looking for collaborators to develop application-specific use cases for IIoT, Manufacturing and Medical Imaging to bridge the gap between sensors and Industry 4.0.
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CONTACT DETAILS
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Pleora Technologies Inc.Jonathan Hou, [email protected]+1 613 270 0625www.pleora.com
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Pleora Technologies
PolyAlgorithm Machine LearningFrederick Speckeen, Business DevelopmentWaterloo, Canada
COMPANY DESCRIPTION
Welcome to PolyML!• small, specialist team of machine learning, mathematics and data science professionals.
• >100 human years combined experience.
• specializing in challenging and complex data.
• >25 different, highly tuned, traditional and proprietary machine learning algorithms.
• Specialists in handling complex data: data series, sequence data, spectrographic data, unstructured textual data in multiple languages, continuous data…
Core TeamDr. Gaston Gonnet, Chief Scientist https://en.wikipedia.org/wiki/Gaston_Gonnet
• Oxford English Dictionary(1984); Founder of Open Text, Maplesoft, Prof. Emeritus ETH, Zurich, H, Darwin->OMA
Tim Snider, CTO• MSc Waterloo; OED(1984); specializes in extracting valuable data from highly disparate and complex data sets
John Stewart, VP Development• B.Mathematics Waterloo; architecting, developing and deploying machine learning solutions.
Range of Experience• manufacturing, extraction processes, banking, insurance, agriculture, legal and bioinformatics
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COLLABORATION:AREAS OF INTEREST
Our areas of interest are collection of vibration, acoustic and spectral data, its analysis, and the creation of highly accurate, predictive models used in manufacturing for: • predictive maintenance; • yield optimization; and • quality prediction.
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COLLABORATION:PROJECTS OF INTEREST
1. Bespoke ML solutions for individual companies – manufacturing floor2. Development of ML control systems for equipment manufacturers• Metal stamping• Combined stamping and welding processes• Robotic welding of traditional metals• Robotic welding of Gen3 metals• Automated tooling processes
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CONTACT DETAILS
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Polyalgorithm Machine Learning “PolyML”
Fred Speckeen, Business DevelopmentEmail: [email protected].+1 226.791.4041
www.polyml.com
RUNWITHIT Synthetics Inc.Myrna Bittner, CEO Co-Founder
COMPANY DESCRIPTION
RWI Synthetics specializes in a new cornerstone of AI – Synthetic Intelligence. We create environments that bring to life complex systems involving infrastructure, technology and people, to derisk and accelerate innovation and design.• RWI models systems in sectors including city infrastructure,
policy and disaster response, utilities, renewables, energy, digital TV, invehicle, IoT, digital systems
• In 2020, RWI won the EPRI (Electric Power and Research Institute) Incubatenergy Labs Challenge with RWI’s Synthetic Energy Futures – a modelling environment that facilitates the design and response of grid decentralization and electrification based on a human-centric approach
• RWI’s Synthetic Intelligence “Inflector Engine” is a culmination of 20 years of AI IP. The team is currently 14 specialists in data science, software and modelling.
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The application of RWI’s Synthetic Modelling in Manufacturing includes the following:• Agent-based modelling for human/machine interface design
(proposals underway for IraSME R&D Project with a German University and manufacturer)
• Corporate Alliance in Mexico with a member of the Alfa Group –manufacturing sector in steel, chemicals, automotive, etc
• Development underway of optimization of volatile manufacturing processes and scheduling through Synthetic Twinning (aka Digital Triplets)
RWI’s Synthetic Models:• Accelerate the of complex system trial and validation, • Enable strategic future scenarios to be explored and optimized• Furnish insight into every aspect of even novel scenarios.
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COLLABORATION:AREAS OF INTEREST
COLLABORATION:PROJECTS OF INTEREST
Synthetic Twinning – Adding the ability to explore future scenarios– such as new products, processes, technologies and capabilities to digital twinning information. RWI’s Synthetic Models create reactive responsive entities that can be utilized to explore all types of novel scenarios, without relying on historical data. These Models capture emergent behavior for analysis that escapes mathematical based simulations.
Synthetic Optimization – RWI’s Synthetic Models facilitate intelligent optimization of complex systems including volatile production scheduling, asset availability and maintenance, supply chain coordination. RWI has begun work in this area with partners in manufacturing and defence and is looking to participate with other partners.
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CONTACT DETAILS
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Runwithit Synthetics Inc.Myrna Bittnermyrna@runwithitsynthetics.com1-780-999-3755www.runwithitsynthetics.com
RUNWITHIT Synthetics Inc.
OTHER PITCH
Canadian Standards Association (CSA)Dr. Pascal Hervé
COMPANY DESCRIPTION
• CSA Group is a global organization dedicated to safety, social good and sustainability. We are a leader in Standards Development and in Testing, Inspection and Certification around the world including Canada, the U.S., Europe and Asia.
• 2000 employees worldwide – 39 Offices – 13 Countries• CSA Mark is accepted by jurisdictions throughout North America• Over 3.000 accredited certification programs
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COLLABORATION:AREAS OF INTEREST
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Requirements Design Implementation Verification Release ResponseTraining Maintenance
Gap Analysis (Guidance Documents, Standards, NIST Framework)
Security Design & Testing ANSI/CAN/UL 2900
Organizational Cybersecurity
Maturity Evaluation
Threat ModelingAttack Surface Analysis
Bench Testing
Security Controls TestingSoftware Cyber Bill of Materials
Robustness / Fuzz TestingVulnerability Identification
Penetration TestingSecurity Risk Analysis, Threat
Modeling, Attack Surface Analysis
ISO 14971, IEC 62304AAMI TIR 57,
NIST SP 800-30IEC 80001
CSA EXP200*
Testing & Evaluations
CSA Security Lab Accreditations
62443-2-4
Holistic Cybersecurity Support Throughout SW&HW Entire Lifecycle
Industrial Control System (ICS) Network and System Security IEC 62443
ANSI/CAN/UL 2900-1ANSI/CAN/UL 2900-2-1
Security Development Lifecycle IEC 62443-4-1 ISO 17025, 62443-4-1
ANSI / ANAB
CSA Group(*) CSA Group Standard Draft
COLLABORATION:PROJECTS OF INTEREST
• Objective: Mitigate the risk of a cyber attack arising from the deployment of Industrial AI
1. Securing AI from thread e.g. where AI is a component in the ICS system that needs defending.
2. Controlling against AI e.g. where AI is the ‘problem’ or is used to improve and enhance other more conventional attack vectors.
3. Practicing AI to enhance security measures against attack from other things e.g. AI is part of the ‘solution’ or is used to improve and enhance more conventional countermeasures.
AI Industrial Standard Creation Training and Education
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CONTACT DETAILS
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CSA Group Bayern GmbHDr. Pascal Hervé[email protected]+49 151 24042069csagroup.org
CSA Group
Thank you · Merci · Danke