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Relai Collab Accelerator Workshop

Relai Collab Accelerator Workshop
Relai Collab Accelerator Workshop

Relai Collab Accelerator Workshop The recent relai collab accelerator workshop brought together researchers to share their work, explore new ideas, and identify potential collaborations. here's a brief overview of the event:. Organized by relai phd students max beier and richard schwank from #tum, this workshop aimed to strengthen collaboration and research connection within the relai family, especially among.

Online Collab Accelerator
Online Collab Accelerator

Online Collab Accelerator Relai invites you to a series of workshops to advance the collaboration between relai and our partners. see the programme below. please register for workshop attendance. we will send you an email with the zoom login for the respective workshops shortly before the respective dates. On january 20, 2026, researchers from relai, mdsi and our industry partner sap gathered for a pitchtalk session at the sap labs munich campus in garching. in an interactive setup, participants from the three organizations exchanged research insights and explored ideas for future collaborations. I hereby agree that the data collected here will be will be processed for the organization of the industry workshop of the zuse school of excellence in reliable artificial intelligence (relai). the deletion of the data will take place after the event. The recent relai collab accelerator workshop brought together researchers to share their work, explore new ideas, and identify potential collaborations. here's a brief overview of the event:.

Collab Tech Accelerator Collab
Collab Tech Accelerator Collab

Collab Tech Accelerator Collab I hereby agree that the data collected here will be will be processed for the organization of the industry workshop of the zuse school of excellence in reliable artificial intelligence (relai). the deletion of the data will take place after the event. The recent relai collab accelerator workshop brought together researchers to share their work, explore new ideas, and identify potential collaborations. here's a brief overview of the event:. This year, the relai retreat took place in bad kohlgrub from june 4th to 6th, bringing together over 80 members of the relai family. it was a fantastic opportunity to reflect on our work in reliable ai and on the activities of our community to drive this field forward. This month, a team of 13 talented master and phd students from our graduate school in reliable ai (relai) showcased their quantitative skills and teamwork in an exciting estimation competition. The relai collab accelerator workshop was an enriching experience, offering a platform for researchers to connect, share insights, and pave the way for future collaborations. The workshop was fertile ground for generating new research ideas and possible collaborations. during the one to one discussions, participants identified several projects for cooperation, such as principled modifications of loss functions to enhance robustness against outlier data rows.

Collab On Linkedin Collab Accelerator Application Collab
Collab On Linkedin Collab Accelerator Application Collab

Collab On Linkedin Collab Accelerator Application Collab This year, the relai retreat took place in bad kohlgrub from june 4th to 6th, bringing together over 80 members of the relai family. it was a fantastic opportunity to reflect on our work in reliable ai and on the activities of our community to drive this field forward. This month, a team of 13 talented master and phd students from our graduate school in reliable ai (relai) showcased their quantitative skills and teamwork in an exciting estimation competition. The relai collab accelerator workshop was an enriching experience, offering a platform for researchers to connect, share insights, and pave the way for future collaborations. The workshop was fertile ground for generating new research ideas and possible collaborations. during the one to one discussions, participants identified several projects for cooperation, such as principled modifications of loss functions to enhance robustness against outlier data rows.

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