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AI in manufacturing to be under spotlight at Hannover Messe 2023
Industry News- Mar 21,23
The trade fare, Hannover Messe 2023 is happening from 17 to 21 April 2023 at Hanover fairground, Germany. This year’s theme of the event focuses on Artificial Intelligence, Industry 4.0, Carbon Neutral Products, and Hydrogen and Fuel cells.
World’s premier trade fair, Hannover Messe is taking place from April 17 to 21, this year and the topic ‘AI in manufacturing’ is under the spotlight this time, at the event. It is being organized by Deutsche Messe AG and is held at the Hanover Fairground in Hanover, Germany. Along with the subject of process optimisation, exhibitors will be focusing on the role of AI in simulation, testing and product development. Generative AI is also making major inroads into the industry. The upcoming tradeshow will be offering special guided tours, a dedicated discussion format and numerous company exhibits featuring AI tools and use cases – from robotics to production cells.
Its lead theme, ‘Industrial Transformation – Making the Difference’ unites the display sectors of automation, motion and drives, digital ecosystems, energy solutions, engineered parts and solutions, future hub, compressed air and vacuum and global business and markets. The exhibition program is complemented by a series of conferences and forums. The partner country at Hannover Messe 2023, is Indonesia.
The only way for industrial enterprises to remain competitive in the coming years is by linking Artificial Intelligence (AI) to their process automation, warns Professor, Dr Sepp Hochreiter of the JKU Linz University in Austria. “Don’t screw this one up,” he said in a message to the industry. But AI in industry or manufacturing does in fact differ from many other sectors and this goes beyond the issue of mere data acquisition and processing. This year’s theme of the event is shedding light on this concept.
On the second day of the show, the Monolith AI firm will present its solution for simulation in mechanical engineering as part of the Industrial AI event on the Industrial Transformation Stage in Hall 3. Monolith AI’s approach goes even further than the booming simulation industry. Every simulation performed develops a model, because the creators rely on real-time data. This means mechanical engineering could save on numerous testing procedures. In addition, AI makes suggestions to developers about their products, based on real-time data. This England-based firm has some very ambitious goals: By 2026, they aim to reduce the product development time of 100,000 engineers by 50 per cent. At the same event, machine manufacturer Hawe Hydraulik will report on how it is using reinforcement learning and then implementing the technology in its processes.
Generative AI, for example in the form of the DALL-E tool, will also change the face of industrial product development, with the designer receiving support from an intelligent agent. Festo, the exhibiting company, has been working in the area of reinforcement learning for manufacturing processes for several years. The next step involves the use of generative algorithms for product development. Open AI recently published 3D models for DALL-E. The challenge in the industry, apart from the 3D challenge, is that the products must also be moveable. In addition to Festo, which is also bringing its new Cobot, Autodesk is also addressing this issue.
The challenge of integrating machine learning into processes is also being addressed by process control suppliers – Siemens is moreover focusing on providing ML Ops, in which engineers provide reliable machine learning models for efficient production and continually maintain them. Siemens will also be providing insight into an AI project at a customer’s site at the Industrial AI event on the second day of the fair.
In addition, visitors will find AI tools and use cases to draw inspiration on the tradeshow floor. Omron will present a cell-line control system, Beckhoff will showcase vision solutions and Dürr will feature its DXQ analyse product family. The promise is that this enables the comprehensive logging of all available process data to detect potential product quality defects or emerging equipment wear in real-time. The system uses data that is condensed at a higher level to draw conclusions about the functionality of individual steps along the value chain, based on documented product quality.
Today, prototype scans often be developed quickly, but the challenge in industrial AI projects –over and above the acquisition and the processing of data – usually lies in integrating the application into a plant, cell, conveyor system or production line. In other words, AI plug-and-play is rare. Hannover Messe, 2023 presents the ideal networking hub. This is where AI developers and software engineers get together with users to jointly develop industrial-grade AI products or processes. Whereas in the past, the focus was on use cases in which errors or anomalies were detected or prognostications were made, the industry in 2023 is focusing on the optimisation of processes and the use of AI methods for simulation, testing and product development.
Hannover Messe 2023
April
Deutsche Messe AG
AI in manufacturing
Hanover Fairground
Germany
Indonesia
Professor
Dr Sepp Hochreiter
JKU Linz University
Austria
Artificial Intelligence
Industry 4.0
Carbon Neutral Products
Hydrogen and Fuel cells
Energy Mangement
Industrial Transformation – Making the Difference
Beckhoff
Monolith
Hawe Hydraulik
Festo
DALL-E
Cobot
Autodesk
Siemens
Dürr
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