News & Presse
PI Probaligence Gmbh
02.07.2024
Wir freuen uns auf die Teilnahme beim diesjährigen European Automotive & Plastic Coating Event in Stuttgart am 10. - 11. September 2024 auf welchem wir unser Forschungsprojekt mit den Partnern Mankiewicz, Fraunhofer IFAM, HS Niederrhein, Füll Lab Automation und AOM Systems vorstellen und zeigen wie mit STOCHOS reale Prozessdaten für eine ML-geführte Lackentwicklung und Prozesskontrolle genutzt werden können.
14.06.2024
Am 13. und 14. Juni sind wir auf der zweiten Workference der SPFA mit dabei. Weitere Details zu der Veranstaltung hier.
13.06.2024
Wir freuen uns auf das BiotechX Webinar "How in silico technologies could accelerate and amplify AI deployement for pharmaceutical applications” am 19. Juni.
04.06.2024
Besuchen Sie uns auf der diesjährigen CADFEM Conference in Rapperswil am 20. Juni.
03.06.2024
Lesen Sie unseren Artikel "AI for Engineering" in der Fachzeitschrift Der Konstrukteur Der Konstrukteur
In an article published by Der Konstrukteur, we showcase the benefits of our software development in the engineering sector,
11.04.2024
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 nimmt an der CADFEM Conference 2024 im April teil
Pi nimmt mit eingenem Stand und zwei Präsentationen an der CADFEM Conference 2024 in Darmstadt teil.
19.03.2024
Auf Multiskalen-Modellierung und maschinellem Lernen basierende Simulation des mechanischen Verhaltens von Graphitkomposit-Werkstoffen.
28.02.2024
Wir stellen unsere neuesten Entwicklungen im Bereich Maschinelles Lernen für Ingenieursanwendungen am 4. April in Brasov, Rumänien vor und hoffen auf interessante und gute Gespräche mit führenden Entwicklern auf dem Gebiet.
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.
31.01.2024
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.
08.01.2024
By changing our default backend the already fast training time of our ML algorithms STOCHOS and PI-BO can be almost improved by factor 2.
20.12.2023
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.
24.10.2023
Again PI-BO was the best performing optimizer. Similar to BOSCH this time ZF came to the same conclusion.
25.09.2023
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
16.10.2023
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.
03.07.2023
Together with our partners from Humotion GmbH and the Medical School Hamburg PI joined the SMHS 2023 to present our Smart Injury Project.
01.07.2023
Project: Na, Logisch! : Sustainable paint development through digital technologies for climate and environmental protection
Pi is proud to participate on the project Na, Logisch!
23.06.2023
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.
14.08.2020
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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