Aideas

Better for your industrial ops!

Join AIDEAS Project and project for an open forum webinar where we'll dive deep into cutting-edge AI for both security and sustainability!

7th March | 12:30PM CET | Online

Don't miss out on:
👉 Mind-blowing insights into the latest AI advancements
👉 Practical solutions for your specific industry challenges
👉 Networking with the best & brightest in the field

This event is for YOU if you're:
👉 A CEO, engineer, data scientist, or simply curious about the future of industrial operations
👉 Ready to unlock the potential of AI in your industry
👉 Passionate about building a greener & more secure future

Register now: https://bit.ly/49lnGq7

Spread the word & let's explore the power of AI together! Share this post with your network!

Empowering AI for greener and more secure Industrial Operations Upgrade your industrial operations with security and sustainability!

🔍 What's in it for you as an AIDEAS Supportive Partner? 🚀

Curious about the advantages of being part of our collaborative network?

When you become an AIDEAS Supportive Partner, you not only support our mission to advance sustainable manufacturing in Europe but also boost your project's visibility, reach, and overall success in the EU industrial landscape.

We're here to help you connect and collaborate with stakeholders who share your passion for sustainability. Join us today, and let's make a difference together! 🌱🤝 https://bit.ly/48nopqa

AIDEAS Supportive Partners Programme The Supportive Partners Programme by AIDEAS aims to establish a collaborative network among stakeholders in EU industrial associations, clusters, DIHs, and other projects.

Hello again, AI Community 😄!!! At the beginning of this exciting 2024 🚀, AIDEAS Project would like to share with you one more of its solutions to support machinery manufacturing companies 🏭 throughout the entire life cycle of their products: the AIDEAS Delivery Optimiser (DO).

This tool 🛠 is specifically devoted to improving the efficiency of product packaging, storage and delivery processes during the manufacturing phase. To this end, AI applications will assist users in developing optimised plans and strategies for logistics, thus ensuring on-time delivery to customers. In addition, optimisation efforts will concentrate on space utilisation within the manufacturer's warehousing facilities, taking into account possible disruptive events. Eventually, AI applications aim to maximise the responsiveness and agility of the supply chain between the manufacturer and customers.

👇 Find out more about the AIDEAS-DO:
https://aideas-project.eu/ai-do/

AIDEAS Delivery Optimiser - Aideas Project AI-based toolkit that is capable of optimising the storage and delivery of products. This optimisation will target storage space, storage conditions and product transportation. Additionally, this optimiser will provide optimisation for logistics scheduling and planning.

Powering the future of machine manufacturing: Our AI-driven journey to agility, sustainability and resilience

Powering the future of machine manufacturing: Our AI-driven journey to agility, sustainability and resilience After a year of dedication, we can confidently say that AIDEAS is progressing according to our original plan, and this success is the result of the hard work and hard work of our valued partners. You have access to this compilation of activities, events and articles that we have prepared in the proc

👋 Hello AI Community!! In its 3rd plenary meeting held this week at the premises of the ITI - Instituto Tecnológico de la Informática , all the partners of the AIDEAS Project consortium took the opportunity to discuss the application of throughout the different phases of the life cycle of industrial machinery and equipment, a key topic for the development of the suites and solutions in which AIDEAS is currently immersed.

The discussion was intense and very productive 💪, and once again allowed significant progress to be made in achieving the objectives of this European initiative. During the meeting, various topics of interest were discussed, especially those related to the development of solutions and the progress of the pilots.

The AIDEAS project is developing AI technologies to support the entire life cycle of industrial equipment (design, manufacturing, use and repair/reuse/recycle) as a strategic instrument to improve the sustainability, agility and resilience of European machinery manufacturing companies.

👉 Follow AIDEAS on social media and visit our website https://aideas-project.eu/3rd-plenary-meeting/ to learn more about us.

3rd plenary meeting - Aideas Project In a landmark event, the AIDEAS Project consortium recently convened for its third plenary meeting at the prestigious ITI – Instituto Tecnológico de Informática. Partners from across the European landscape converged to explore the expansive potential of artificial intelligence ( ) in revolutio...

"Smart Retrofit: An Innovative and Sustainable Solution"

Recovering old machinery, once it reaches its end of life, allows companies to be sustainable. Several strategies are available for this purpose, both from the point of view of hardware and software modifications. Especially in the industrial sector, these strategies are classified as revamping, remanufacturing and retrofitting. Machinery revamping, retrofitting and remanufacturing are all used to improve industrial equipment performance, efficiency and sustainability. Each approach has unique benefits and trade-offs, depending on the specific needs and requirements of the equipment and business. Moreover, according to Industry 4.0 principles, it is also possible to talk about smart retrofitting, involving the integration of various technologies such as sensors, automation systems, Digital Twins, artificial intelligence and data analytics software to control and optimise the operation of the machinery. Digital Twins, in particular, have been widely used among smart retrofit solutions and can integrate several innovative aspects of dated systems. However, a literature review needs to clarify their meaning and specific characteristics. For this reason, this paper aims to distinguish different strategies and find a correct definition of smart retrofitting, highlighting its relevance, benefits and sustainability in the industrial sector, focusing more on Digital Twin solutions for smart retrofitting.

https://www.mdpi.com/2075-1702/11/5/523

Università Politecnica delle Marche UNIVPM

Smart Retrofit: An Innovative and Sustainable Solution Recovering old machinery, once it reaches its end of life, allows companies to be sustainable. Several strategies are available for this purpose, both from the point of view of hardware and software modifications. Especially in the industrial sector, these strategies are classified as revamping, rem...

"Why is the winner the best?"

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multi-center study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and postprocessing (66%). The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

https://arxiv.org/abs/2303.17719

XLAB

Why is the winner the best? International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and...

🎉 Big news! FundingBox and partners are driving AI innovation for industrial equipment's entire life cycle with the project! 🚀🌱🤖

🌍🏭 We will be in charge of bringing those technologies closer to the market and managing an Expression of Interest where equipment manufacturers can apply to test our AI solutions and accelerate their digital transformation. 💻💡

🔊Join our online community if you want to know more about what we are doing and be the first to know when you will be able to apply to test the AIDEAS solutions: https://bit.ly/43GjxJZ

Hello AI Community, here we are again with another partner of the AIDEAS project: XLAB.

XLAB is a global company that since 2001 offers its customers state-of-the-art IT solutions focused on remote desktop technology, automation and management of hybrid infrastructures, and artificial intelligence. It currently has a team of more than 100 people and has become recognised as a highly professional technology innovator, relying on the power of open source, partnership and teamwork.

For additional information about XLAB, we invite you to visit the AIDEAS website:
https://aideas.webs.upv.es/xlab/

xlab - Aideas Project XLAB is a global IT solution company focused on remote desktop technology (ISL Online), automation and management of hybrid infrastructure (XLAB Steampunk), and Artificial Intelligence (XLAB AI), building on breakthroughs of its own research team.

Welcome back, AI community! From the AIDEAS project, we introduce you today to Ce.S.I. Centro Studi Industriali.

Ce.S.I. is an independent SME that focuses its activities on design, advanced engineering, digital innovation and consultancy in four strategic business areas: manufacturing/machine tools, advanced materials, transport, and micro-technology. Ce.S.I. provides services to create substantial new value for its customers, which includes methods and technologies to boost digital innovation and transformation toward Industry 4.0.

Visit our website to know more about Ce.S.I. and its role in the AIDEAS project:
https://lnkd.in/d225Dx87

Ce.S.I. - Aideas Project Ce.S.I. Centro Studi Industriali PROFILE: Ce.S.I. Centro Studi Industriali Srl (CeSI) is an independent SME that focuses its activities on Design, Advanced Engineering, Digital Innovation and Consultancy in four strategic business areas: Manufacturing/Machine tools, Advanced Materials, Transport and...

Hello AI community!

Remember that next week you can find us at one of the Digital Manufacturing Industrial Summit (DMIS) stands. It will be at the Universitat Politècnica de València UPV and you can find more information about the industrial workshop here:

https://lnkd.in/eTFvms2G

Come and meet us!

Digital Manufacturing Industry and Technology Conference DMIS, the European Digital Manufacturing Industry and Technology Conference, will bring together experts from different fields, from industry, manufacturers and technology developers

Welcome back, AI community! From the AIDEAS project we introduce you today to the Instituto de Desenvolvimento de Novas Tecnologias (Uninova).

UNINOVA is a multidisciplinary, independent and non-profit research institute located in the metropolitan area of Lisbon, pursuing excellence in scientific research, technical development, advanced training and education. It has participated in many national and international research programmes with experience in industrial systems interoperability, future internet enterprise systems, reconfigurable manufacturing systems, intelligent control solutions, e-learning and e-training activities, and standards-based activities.

We invite you to learn more about UNINOVA on our website:
https://lnkd.in/dEbDyiRx

UNINOVA - Aideas Project Instituto de Desenvolvimento de Novas Tecnologias (UNINOVA) is a multidisciplinary, independent, and non-profit research institute employing around 180 persons, located in the metropolitan area of Lisbon.

Hello once again, AI community!! From the AIDEAS Project, today we would like to introduce you to ITI - Instituto Tecnológico de Informática.

ITI is located in the Science Park of the Polytechnic University of Valencia (UPV) and is a technological institute and research centre that provides knowledge, infrastructures, and technologies to support companies through research and development of innovative and advanced technological solutions and services. At present, more than 300 professionals work together at ITI, all of them coming from different fields, especially those related to Information and Communication Technologies (ICT).

We invite you to visit our website and learn more about ITI and its role in the Project:

https://lnkd.in/dbdT7Xsa

Hi once again, AI community!

It is now time to introduce another member of the AIDEAS project: Multiscan Technologies.

Multiscan develops and manufactures machine vision equipment for the sorting and inspection of fruit and vegetables. Multiscan is a visionary company, passionate about the development and application of technologies based on the artificial vision for the agro-industry, with a differential approach through 360º analysis of the product. With more than 20 years of experience, Multiscan offers unique solutions for the selection and inspection of agri-food products. Multiscan's value proposition is based on four key concepts: Customer, Innovation, Global Reach and Sustainability.

If you want to know more about Multiscan and how it strengthens the consortium involved in the AIDEAS Project, we invite you to visit the AIDEAS website: https://aideas-project.eu/multiscan-pilot/

Multiscan Technologies - AI for Inspection Machines - Aideas Project Multiscan is a company located in Cocentaina that develops and manufactures artificial vision equipment for the sorting of fresh fruit and vegetables...

New year, new news!

As you know, AIDEAS began its journey in October 2022 and we want to share with all of you the different partners of the team.

Today we introduce you to Universitat Politècnica de València (UPV) which is the first Spanish university of technological character that is among the best in the world, according to the Academic Ranking of World Universities (ARWU), known as the Shanghai ranking. The participation of the Universitat Politècnica de València UPV in the AIDEAS project will be coordinated by the CIGIP-UPV which is a Research Structure of the Universitat Politècnica de València, a member of the Polytechnic City of Innovation (CPI), maximum exponent of the flow of knowledge and technology between research institutions and companies.

If you want to know more about its team, I invite you to visit our website:
https://lnkd.in/df6yxhiy 🔎



Ver traducción

UPV - AIDEAS Project The Universitat Politècnica de València (UPV) is a Spanish public university with 13 Engineering Schools, 40 bachelor's and 70 master's degrees and 30 doctoral programs.

With around 3.2 million employees, the European machinery industry is a foundation for employment, growth and prosperity. Industrial equipment is considered a key element for industrial development so it is crucial to make AI technologies available to all EU stakeholders to ensure robust development, deployment and reuse of industrial equipment, increase global competitiveness and strengthen the industry’s strategic autonomy and resilience.

Our Aideas Project takes up the challenge by developing AI technologies to support the entire life cycle (design, manufacture, use, and repair/reuse/recycling) of industrial equipment as a strategic tool to improve sustainability, agility, and resilience of machinery manufacturing companies. Learn more 👉 https://bit.ly/3GU0HHb

The first press release of the Project is already available!

AIDEAS Project will develop AI technologies for supporting the entire life cycle of industrial equipment (design, manufacturing, use and repair/reuse/recycle) as a strategic instrument to improve the sustainability, agility and resilience of European machinery manufacturing companies.

☝ Learn more in the press release we have just launched: https://lnkd.in/dyCqZywd

zenodo.org

Today, at Digital Innovation Summit in Madeira, we presented the AIDEAS project. Ruben Costa from Uninova presented the objectives of the project and explained the solutions we are going to develop.

If you want to know more about our project, do not hesitate to visit our website https://aideas-project.eu

AIDEAS Project AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience.

Last Tuesday the AIDEAS KoM took place at facilities in (Greece), where we were able to discuss each part of this project.

AIDEAS has 16 Partners from 8 different countries and its goal is to realise 15 solutions that will implement AI technologies to support the entire lifecycle of industrial equipment to improve the sustainability, agility and resilience of European machinery manufacturing companies.

The AIDEAS Project started on 1st October 2022 and will develop its activities for 3 years.

We invite you to visit its website and follow us on social media:

AIDEAS European Union’s Horizon 2020 AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience.