This year we presented again at the WOST conference in Weimar, especially as this years focus was on AI to amplify the power of simulation with parametric variation and robust design optimization.
The BMWK invited to the Days of Digital Technologies in Berlin. PI attended to present the project Na, Logisch! for ML guided DoE in paint and coating applications.
We looking forward to attend at the European Automotive & Plastic Coating Event in Stuttgart 10.-11. Sep 2024 where we present our research project together with Mankiewicz , Fraunhofer IFAM, HS Niederrhein, Füll Lab Automation and AOM Systems and how our software STOCHOS is able to use real process data for ML-guided coating development and production process control.
We are looking forward to the the BiotechX Webinar “How in silico technologies could accelerate and amplify AI deployement for pharmaceutical applications” on 19th June.
Our presentation on multi-fidelity was well received at the CADFEM Conference 2024. We are pleased about the numerous new contacts and the many specialists who recognized our advantages so quickly.
20.03.2024
PI Probaligence to participate on the CADFEM Conference 2024 in April
PI particitpats with an own booth and 2 presentations on the CADFEM Conference 2024 in Darmstadt, Germany.
We will present our recent developments in Machine Learning for Engineering solutions on Apr. 4th in Brasov, Romania and hope for fruitful discussions with leading engineering companies.
08.02.2024
Project meeting with the project partners at the Fraunhofer Institut in Bremen
Together with partners from industry, research and universities, we develop a Machine-Learning guided coating formulation using high throughput experimentation.
CADFEM has brought PI Probaligence on board as a partner with outstanding solutions and expertise to provide customers with targeted support as they move into the world of AI.
The MIT Technology Review published a new study about the carbon footprint of general, giant ANNs used for example for picture generation and energy needed for the model usage.
We are proud that only after only 4 adaptations we came already very close and partly even better than the results of commercial color matching software using standard formulas
On 19.10.2023, the official kick-off event of the “Green Tech Innovation Competition” took place in Berlin. The aim of the projects funded by the BMWK in this context is to use sustainable digital technologies to contribute to the achievement of German and European climate and environmental protection goals within the framework of the 2030 Agenda.
We are very happy and proud of the feedback we received from BOSCH on the Ansys WOST Conference last week for our PI-BO Optimizer.
01.02.2022
Ansys integrates Stochos in optiSLang
Ansys Inc. an US developer of CAE/multiphysics engineering simulation software for product design, testing and operation integrades part of STOCHOS in their process integration & design optimization tool optiSLang.
The “Smart Injury Prevention” research project starts with the aim of using artificial intelligence (AI) to detect potential running injuries in a timely manner and thereby prevent them. For this purpose, the specialist for body-hugging sensors Humotion GmbH and the software expert PI Probaligence GmbH, together with the University of Hamburg, are developing intelligent software for the personalized prediction of running injuries.
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