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Removing Corporate Data from AI Models

Removing Corporate Data from AI Models

The development of AI models in joint projects yields improved results because multiple companies contribute their data. The situation becomes critical, however, if a partner withdraws and requests the return of its data. With federated unlearning, Fraunhofer researchers and Fujitsu Research have developed a method for precisely removing data from decentralized AI models.

  • April 1, 2026
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3D-Printing on the Upswing: Why Companies Are Increasingly Relying on High-Performance Polymers
Automation Industrial Equipment & Supplies Motors & Drives

3D-Printing on the Upswing: Why Companies Are Increasingly Relying on High-Performance Polymers

3D printing in companies is booming. Design engineers are printing special components and wear-resistant parts themselves without further ado. However, the projects stand or fall on the quality of the printing material, warns Jonas Burk, Head of Additive Manufacturing at igus. The fact that 3D printing with high-performance polymers from igus is worthwhile is not only proven by the service life tests. Customers can also manufacture their products more economically and faster than injection moulding.

  • March 31, 2026
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