In recent years, more than 70% of companies in the United States have planned investments in advanced manufacturing solutions.
Indeed, pursuing this tendency, many companies have already implemented improvements that could be related to the lines proposed by Industry 4.0.
This conference is a continuation of the one presented in 2017. Then, we talked about what Deep Learning was and what it could do for my company. Two years later, we will show you how to implement it through several case studies from first-rate companies.
Discover what you need to apply Deep Learning in your processes and how this technology can help improve them.
Aimed at the following sectors:
- Aerospace
- Food and Beverages
- Automotive Industry
- Capital Goods
- Eco-industry
- Equipment and component manufacturing for the energy sector
- Pharma and healthcare services
- Railway
- Iron and Steel Industry
- Chemical and Petrochemical Industry - Biorefineries
- Infrastructures
- Engineering Firms
- Instrumentation – Smart Systems – Maintenance
- Machine-Tooling and Robotics
- Health and Medical Devices
- IT services and systems
Agenda
| Time | Topic |
|---|---|
| 09:00 | Registration of attendees |
| 09:30 |
Welcome and Opening of the Conference ► David Sánchez. Industry and Transport Deputy Director. TECNALIA ► Estíbaliz Garrote. Head of the (GEI) Computer Vision International Excellence Group TECNALIA |
| 09:50 |
INTRODUCTION TO DEEP LEARNING ► Aitor Álvarez. Researcher. TECNALIA |
| 10:10 |
GUEST SPEAKER: Geometric deep learning for human perception and modelling ► Francesc Moreno-Noguer. Associate Researcher Institut de Robótica i Informàtica Industrial (CSIC-UPC) |
| 10:40 |
Deep Learning for the development and validation of new agro products. Evaluating field testing through digital tools ► Ramón Navarra-Mestre. Head of Agro Research Centres and Research and Development in Digitalisation Centres BASF ► Javier Romero. Digitalisation. Agro Research Centre in Utrera (Spain). BASF |
| 11:00 | Coffee Break |
| 11:20 |
Management of scrapyards ► Asier Vicente. Research Engineer ARCELORMITTAL |
| 11:40 |
Ready to trust in the new tools? Explaining what Artificial Intelligence consists of. ► Alejandro Barreda. Researcher. TECNALIA |
| 12:00 |
How to address the challenges of the workflow of images in the Machine Learning life-cycle. The challenge of companies (PRESENTATION IN ENGLISH). ► Till Eggers. Global Head of Data Science, Biostatistics and Visualisation-Digitalisation in R&D. BASF |
| 12:20 |
Modelling of geophysical problems ► David Pardo. Ikerbasque Researcher Professor, UPV/EHU, BCAM. |
| 12:40 |
Reducing the need for annotated images and data sets ► Alfonso Medela. Researcher. TECNALIA |
| 13:00 | Conclusions and Round of Questions |
| 13:30 | Lunch |
LUNCH will be served to all those present at the end of the Conference