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AI Opportunities for SMEs |
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| The speaker for the webinar is Å. Rudström - a scientific researcher, project leader, coordinator, networker and speaker/lecturer, with a PhD in Man-Machine Interaction. | ||||||
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AI Opportunities for SMEs 2 |
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| The speaker for the webinar is E. Tauraite-Kavai who’s an innovation expert at MITA with a first hand experience in both theoretical and practical fields of innovation. | ||||||
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AI training course for scientific-technical business profiles |
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| The course will train students as professionals in the technical management and efficient use of the main AI techniques, in order to obtain the best possible performance from them within their organisations. The approach of the course will be broad but with academic rigour, combining a theoretical base that will allow students to acquire a global vision of the methods and techniques used in AI, with practical units where they will be able to apply this knowledge and assess realistic approaches to possible applications of this technology in real production environments in sectors such as health or mobility, making correct use of its terminology and taking into account its possibilities and limitations. | ||||||
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AM Introduction |
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| Get a complete overview about the status of Additive Manufacturing technologies and materials | ||||||
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APPS #1: Logistics and automation library |
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| The Logistics automation and optimization module optimizes routes, agents, and material flows in production. | ||||||
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APPS #2: Production reconfiguration |
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| The Advanced Plant Model (APM) aims to provide a real-time digital representation of the ongoing state of a given shop floor including the representation of workers, industrial and mobile robots, work-stations, manufacturing lines, racks, boxes, palettes, kits and parts, consolidated by a production schedule generated by a Manufacturing Execution Sytem (MES). | ||||||
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APPS #3: Cognitive HRI |
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| The cognitive HRI module supports Human Machine Collaboration (HMC) aiming at combining human flexibility with repeatability of automated factory entities, such as cobots, for improving working conditions while pursuing better performances. | ||||||
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APPS #4: Resource Optimization |
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| Resource optimization package aims at optimizing the use of resources in terms of energy, resources, waste, through a data analytics tool that creates optimal solutions to minimize consumption. RAMP usage will guarantee real-time data visualization and time/effort resource optimization. | ||||||
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Artificial Intelligence applied to Industry |
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| Explain CEOs and Directors of Industrial companies and SMEs the challenge of digitization through Artificial Intelligence. Show them real solutions and success cases for their businesses. | ||||||
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Assessing HPC readiness for SMEs |
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| Industry – from startups to SMEs and big-caps, can improve their knowledge and become more competitive by using High-Performance Computing (HPC) for their business. We strongly believe that HPC technologies are essential for innovation and growth. This training is addressed to Industry (startup, SME, big-caps), Independent Software Vendors, National Competence Centres (NCCs), and Digital Innovation Hubs (DIHs). | ||||||
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