For Fujitsu, computational science research is one of the cornerstones of a successful IT service provider. Whether it is the development of quantum computers, new solutions for more sustainable and effective mobility, energy-saving HPC systems […]
The PHYSICS project, held its 8th General Assembly meeting on November 8th – 9th, 2023, in Florence, Italy. Hosted by GFT, the meeting provided an opportunity for partners to present updates on task progress and […]
The German Research Center for Artificial Intelligence (DFKI) carried out the 3-week tests (from September 4 to 23, 2023) of the PHYSICS platform to assess the goals targeted by the Smart Manufacturing Use Cases: Deployment […]
Automatic understanding of patients to drive personalized interventions is becoming important in personalized healthcare, especially when patients are suffering from chronic conditions, ideally spending most of their patient journey away from clinical facilities. In most […]
The PHYSICS project’s 7th General Assembly meeting was held on July 4th – 5th, 2023, in Pafos, Cyprus. The meeting was hosted by Innov-Acts LTD. During the GA the consortium partners presented their updates on […]
The 6th General Assembly meeting of the PHYSICS project took place on March 6th – 7th, 2023, in Munich, Germany, and was hosted by Fujitsu TDS GmbH.The event provided a platform for the consortium partners […]
The 5th PHYSICS project General Assembly meeting was held on November 15th – 16th, 2022 in Madrid, Spain and was hosted by ATOS.Partners had the opportunity to update the consortium on the progress of different tasks and deliverables, […]
It is commonly known that Serverless Computing has emerged as an agile environment of alternate execution while having many inherent scaling capabilities. The Function as a Service [1] approach, aims to apply the serverless scope also in the way application logic is created, embedded and executed.
Personalized healthcare requires decision support systems that can help healthcare professionals to manage large volumes of patients.
Abstract Serverless environments have attracted significant attention in recent years as a result of their agility in execution as well as inherent scaling capabilities as a cloud-native execution model. While extensive analysis has been performed […]
