AGENDA

timePreliminary program
08:00-08:30

REGISTRATION & COFFEE

08:30-09:00

WELCOME ADDRESS

  • Welcome note, Ambassador of Sweden to Israel (TBC)
  • Welcome note, Israeli Government Representative (TBC)
  • Introduction to "The Connector - Israel Sweden Innovation Initative", Mr Hampus Nilzen, Trade Commissioner and Country Manager, Business Sweden
09:00-09:20

FUNDING OPPORTUNITIES & REQUIREMENTS

Overview of governmental co-funding instruments.

  • Mr Peter Lindberg, National Project Coordinator, VINNOVA - Swedish Innovation Agency
09:20-09:50

PANEL DISCUSSION I: FUTURE OF MOBILITY & AUTONOMOUS DRIVING

  • Moderator: (TBC)
  • Panelists (TBC)
09:50-10:20

PANEL DISCUSSION II: INNOVATIONS FOR THE FACTORY OF THE FUTURE

Moderator:  Malin Rogström, Head of Sandbacka Science Park, Sandbacka Science Park

Panelists:

  • Magnus Viström, Innovation Manager, SCA
    • AI and digital twins for optimized processes and predictive (prescriptive) maintenance 
    • Synopsis: For a paper or a pulp mill with a yearly capacity of several hundred thousand tons, optimizations and improvements of productivity and predictive maintenance can have a huge effect on the output. Ongoing projects using AI indicate that a digital twin can be used for surveillance, optimization and operator support. The digital twin can be seen as an exciting step towards an autonomous pulp/paper mill.
10:20-10:40

NETWORKING COFFEE BREAK

10:40-11:20

SWEDISH MULTINATIONAL ENTERPRISE PRESENTATIONS

(TBC)

11:20-12:00

ISRAELI MULTINATIONAL ENTERPRISE PRESENTATIONS

AI for industrial and healthcare applications at GE Research (15min)

  • Dr. Rafi Brada, AI Technology Manager, GE Research
    • Synopsis: AI research at GE covers a wide range of industrial and medical applications. An overview of the types of AI technologies being developed and their applications across multiple domains will be presented. Topics include machine perception and computer vision for inspection, automation, and performance enhancements, as well as Digital twins for predictive maintenance and schedule optimization. We will also discuss how the Science of AI may help ensure robustness, trust and security in AI systems and algorithms.
12:00-12:40

ACADEMIA PRESENTATIONS

Maximizing Usefulness of Video

  • Mr. Shmuel Peleg, Professor, The Hebrew University of Jerusalem, and Co-founder, Briefcam Ltd
    • Synopsis: Video is recorded everywhere, but its usefulness can be enhanced substantially by (i) careful use of audio. On one aspect we can enhance speech of a visible speaker by removing sounds unrelated to mouth movements. On another hand we propose to remove speech altogether in order to perform audio scene analysis while complying with privacy laws. (ii) Detection of anomalies, which are the most important events recorded in videos and by other sensors.
12:40-13:40

NETWORKING LUNCH

13:40-14:40

START-UP & SME ELEVATOR PITCHES

Moderator: Ulf Borbos, Project Manager, Swedish Incubators & Science Parks

Enabling smart maintenance with high-quality labeled sensor data

  • Stefan Lagerkvist, CEO, VikingAnalytics
    • Synopsis: One of the most critical enablers for smart manufacturing (i.e. predictive maintenance and optimization) is high quality sensor data that has been processed and labelled by a subject matter expert. You are "data ready" for smart manufacturing when you realize this enabler. Viking Analytics’ unique platform Multiviz can be used by subject matter experts to convert raw, real-time and historical sensor data to useful information. We also provide professional services to help you design your value adding, data driven solutions.

EmbeDL: Deep Learning Optimization - from R&D to High-Performance, Cost and Energy Efficient AI-Powered Embedded Systems

  • Peter Lake, CCO, EmbeDLAB
    • Synopsis: EmbeDLis a Deep Learning Optimization technology that helps companies bring Deep Learning from R&D to embedded systems by advanced optimizations, resulting in high-performance, cost and energy efficient products and solutions. EmbeDLOptimization technology is HW aware and has proven algorithm improvements for various industry sectors e.g. Automotive, Robotics/Production, Health Care, AI Data Centers, Video analytic Industries.

AI and Visual Inspection for optimized manufacturing processes 

  • Lijo George, Partner & MD, Amazing Innovation Sweden AB
    • Synopsis: In metal casting foundry, a key challenge exist concerning casting quality. Around 20% of the castings are rejected at various stages of manufacturing depending on the complexity of the design. Reasons range from sand quality, metal composition, pouring related defects, dimensional defects. Computer-vision based inspection using deep learning and video analytics, Models for optimization of processes can get around 10% increase in process yield which can reduce CO2 emission by 0.8 MtCO2/Annum and reduce GHG emissions. Large saving in electrical energy consumption and cost as well. Many  such use cases exist across smart manufacturing landscape to take advantage of.

Data driven gamification for improved training and lifelong learning

  • Magnus Gerdin, Researcher Industry 4.0, Insert Coin
    • Synopsis: Gwen is a science based SaaS for gamification in existing platforms and applications. It is currently used in several different contexts with at focus on learning in higher education and the production industry. A few of the current research projects focus on training of the industrial workforce and student behavior patterns related to expected outcome.
14:40-18:00

1-ON-1 MATCHMAKING MEETINGS

Prebooked matchmaking meetings via online platform á 20 minutes per meeting. See individual meeting schedules in your profile, login here.

18:00-20:00

AFTER CONFERENCE NETWORKING

IMPORTANT DEADLINES

28 Feb 2020
Registration deadline


6 Jan 2020 - 13 Mar 2020
Booking of 1-to-1 meetings


24 March 2020
Event date

SME PITCHES @ THE CONNECTOR

Are you interested in being one of the pitching start-ups / SME's at The Connector?

Would you like to present your innovation for MNE's and academia to secure R&D cooperation?

APPLY HERE

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