Logo of the AI4EOSC project
AI4EOSC: Open Call for new use cases (by April 30)

The AI4EOSC project announces the first Open Call for new Use cases! The goal is to onboard researchers, businesses, and innovators developing innovative solutions and support them by taking advantage of AI/ML/DL technologies.

Symbolbild: Schriftzug Security und Icons für Mails, Dokumente und ein Stern, der mit "New Check" beschriftet istSCC; pixabay;
More security when sending e-mails

SCC now also checks internal e-mails that may pose a potential threat to the IT infrastructure at KIT. There is a particular risk potential when sending specific files as e-mail attachments.

Das Foto zeigt Jun.Prof. Dr. Sebastian Krumscheid stehend, sichtlich erfreut über diese Auszeichnung des KIT
Sebastian Krumscheid erhält KIT-Fakultätslehrpreis

Sebastian Krumscheid erarbeitet mit Studierenden Konzepte für Problemlösungen aus aktuellen Anwendungsbeispielen. Er erhält für seine herausragende Lehre den KIT-Fakultätslehrpreis 2024: Mathematik.

Das Bild zeigt das Logo des Jupyter-Projekts und den Schriftzug Jupyter für die Lehre am KIT. Rechts ist ein Beispiel mit Quellcode und erzeugter Grafik zu sehen.
Start of pilot phase „Jupyter for Teaching“ at KIT

In the summer semester 2024, SCC will launch the pilot phase of the new JupyterHub service for teaching. The aim of the project is to strengthen research-oriented teaching, particularly in the areas of artificial intelligence, machine learning, simulation and modeling.

Zeigt eine Wordcloud zum Thema Research Software Engineering
New community website at KIT: Research Software Engineering

The Research Software Engineering Community at KIT has launched a new website as a source of information. Here you can find information, events and services on the broad topic of Research Software Engineering (RSE).

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    SCC is involved in various research projects. The cooperation partners include universities and research institutions as well as companies, both national and international.

    Project Overview
    Vortrag Virtualisierung
    Research Topics

    The focus is on high-performance computing & data-intensive computing, simulation labs, grid and cloud computing and large scale data management & analysis.

    High-performance Computing

    Operation of large-scale facilities for scientific high-performance computing and data-intensive science within the framework of secure IT federations.


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