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Dunkermotoren News

MAE and Dunkermotoren exhibit together for the first time at the Interclean in Amsterdam

MAE, known as a long-standing manufacturer of blowers and motors in the field industrial and private cleaning applications, is exhibiting together with its sister company Dunkermotoren at Interclean in Amsterdam for the first time this year. Both companies will jointly present their new products in hall 5 at booth 505.

Materialise News

Materialise Advances Sustainable Eyewear with 100% Bio-Based 3D Printing Material

Materialise, a global leader in 3D printing solutions, paves the way towards a sustainable eyewear industry by expanding its range of materials to include Polyamide 11 (PA11). 3D printing addresses fashion industry’s environmental challenge.

Yokogawa News

Robot dog SPOT on tour at Yokogawa customer sites

Co-innovating tomorrow… not without reason Yokogawa's slogan. And of course, the robot dog SPOT must be part of that! According to developer Boston Dynamics , Spot will play a revolutionary role in our industry.You have probably seen a video of this impressive robot before.

Stemmer imaging News

MACHINE VISION FOR TRANSFORMING MARKETS – AN OPPORTUNITY FOR THE PACKAGING INDUSTRY

Many industries are currently facing major challenges resulting from the significant changes in the wake of digitalisation, automation and the sustainability movement. In addition, customers expect an ever-increasing degree of flexibility and individualisation. The change opens up great opportunities for manufacturers. However, it takes expertise to make the most of it with the right resources.

Fraunhofer News

FRAUNHOFER ML4P PROJECT IMPROVES EFFICIENCY IN INDUSTRIAL MANUFACTURING

Artificial intelligence is regularly applied in areas such as image analysis and speech recognition. However, in the industrial production sector its potential is still scarcely used. Several Fraunhofer institutes have recently developed a solution as part of the lighthouse project “ML4P — Machine Learning for Production”, which aims to make industrial manufacturing much more efficient through the use of machine learning. The software suite is very flexible and can be easily applied in existing production processes.

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