Category Case Studies

Beyond generative AI: how Machine Learning enters industrial processes

Machine learning enables production data to be transformed into useful information for recognising defects, identifying anomalies and adjusting the process. Supervised learning, unsupervised learning and reinforcement learning offer different possibilities depending on the objectives and the data available. Integrating them requires combining algorithmic expertise with an understanding of physical phenomena in order to meet the plant’s specific needs.

Electrothermal technologies for pharmaceutical granulation: new possibilities for machinery and processes

Microwave, radio frequency and induction are the electrothermal technologies that can offer new prospects for energy transfer and control in pharmaceutical granulation processes, particularly in those stages where heat input is integral to the process, such as drying, conditioning and melting. For companies that develop production lines and machinery, this opens up real opportunities to make the granulation process faster, more controllable and more efficient.