For a detailed and compact overview of our program we prepared a presentation with all important information for you. In the presentation, you will find a summary of the contents, schedules and registration for AIDAHO.

Download here.

We are pleased to inform you about the following announcement for a master's thesis topic proposal with one of our cooperation partners the Institute of Functional Interfaces (IFG) at the KIT about the "Integration of an ESI-MS into a robotic station for automated sample analysis".

More information can be found in the following proposal (see).

We are excited to invite you to another session of our lecture series "Digital Agriculture: Introduction" (4407-211)!

This week, we are honored to welcome Dr. Ali Al Masri from Fraunhofer IGD as our guest lecturer, who will give an engaging presentation on the topic "Landwirtschaftliche Fernerkundung".

Event Details:

• Date: Wednesday, 15 January 2025
• Time: 12:15 PM - 1:45 PM
• Format: Online via Zoom

Join Zoom Meeting:
Click here to join

• Meeting ID: 661 9871 1605
• Passcode: wjtLp7

All interested individuals from various fields and institutions are warmly encouraged to attend. Thank you for sharing this invitation with potential attendees!

We are pleased to inform you about the following announcement for a master's thesis with one of our cooperation partners.

Your Tasks:

• You will develop a GenAI-based chatbot using Microsoft Azure AI applications (Azure Open AI Service, Azure AI Foundry) for chatting with internal documents and databases.
• The solution you implement will answer user queries based on product information, project data, work guidelines, tutorials, etc.
• Integrating documents into the application's knowledge database via connections to internal document storage systems (e.g., SharePoint) will be part of your tasks.
• You will also be responsible for testing and validating the GenAI functionalities and supporting a Proof of Concept with a test user group.
• You will be in charge of documenting the results and creating a final report.

Your Profile:

• You are a student in the field of Business Administration, Computer Science, Information Systems, or a related discipline.
• You have experience working with Microsoft Azure applications (Azure SQL Database, Azure Blob Storage, Azure AI Foundry) or similar tools.
• Experience with LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), or GenAI applications in general is an advantage.
• You are well-organized, work independently, and have an eye for detail.
• Teamwork, responsibility, and a sense of humor complete your profile.

Further details can be found on our Job Teaser platform here!

We are pleased to invite you to the weekly programming help sessions organized by Professor Antony's group in connection with his lectures. These sessions provide support and guidance for your programming needs.

Details of the Help Sessions:

• Day: Every Monday during lecture time
• Time: 4:00 PM - 6:00 PM
• Location: Building 03.33, 1st floor

Currently, there is additional capacity to assist more students, as we are still far from the end of the semester. If you would like some programming help, feel free to join the session!

We're introducing a new opportunity for students interested in AI projects: the AIDAHO Tinkering Club. The club is designed to help students bring their ideas to life, connect with others for collaboration or guidance, and receive support from the AIDAHO team throughout the process. Participants also have the opportunity to use the existing AIDAHO infrastructure for their projects. Such a project can also count towards your certificate or lead to a thesis.

If you are interested in the new AIDAHO Tinkering Club and would like to find out more, you can now register and network via this link to the ILIAS course.

The club starts on October 31, 12:00 - 14:00, in HS 36.

Regular meetings take place every Friday in PC room 2 from 12:00 to 14:00.

The biostatistics unit (340c) is looking for a student for the following thesis proposal.

Topic: Comparison of novel genomic prediction methods with advanced variable selection techniques on synthetic and real datasets

Description: Genomic prediction is an essential tool in breeding of many plant and animal species. It makes it possible to predict the performance of genotypes without physically testing them, and to select the best, thereby increasing genetic gain and reducing workload. The classic genomic prediction tool is a mixed model, but other linear, non-linear and Bayesian methods can be used instead.

Language: English

More information can be found in the following proposal (see).

Contact: For more details please contact Prof. Hans-Peter Piepho (hans-peter.piepho@uni-hohenheim.de) or Maksym Hrachov (maksym.hrachov@uni-hohenheim.de).

Our modern, digitalized world generates incredible amounts of data. With all this data, the ability to draw intelligence and benefit from it is becoming increasingly important for companies. The reason: data is the key to better and faster business decisions. As a result, the demand for analytics skills on the job market is growing rapidly.

Over two days, the SAS® Analytics School introduces you to the Analytics Life Cycle - a way of working with data that covers the entire process from data preparation to analysis and deployment. Through the SAS® Skill Builder for Students platform, you have free access to SAS® software, extensive training materials, e-learning courses and documentation - even after the course to expand your analytical knowledge.

When: Annually in February, May, August and November

Where: Online

Free registration hier

Topic:
"How European and US law and regulations impacts Machine Learning (ML) applications design and Artificial Intelligence (AI) systems"

Speaker:
Dr. Francesca Hennig-Possenti
(John Deere, Chair of AI Group CEMA)

When?
Monday, 08.04.2024, 4:15 p.m.

Where?
HS Ö2

Zoom
Meeting-ID: 661 7333 8158
Kenncode: 40RXUq

Um Ihnen einen detaillierten und kompakten Überblick über unser Programm zu geben, haben wir eine Präsentation mit allen wichtigen Informationen für Sie vorbereitet. In der Präsentation finden Sie eine Zusammenfassung der Inhalte, Abläufe und die Anmeldung für AIDAHO.

Sie können das Dokument hier herunterladen.

Wir freuen uns, Sie zu einer weiteren Sitzung unserer Ringvorlesung „Digital Agriculture: Einführung“ (4407-211) einladen zu dürfen!

Diese Woche dürfen wir Dr. Ali Al Masri vom Fraunhofer IGD als Gastdozenten begrüßen. Er wird einen spannenden Vortrag zum Thema „Landwirtschaftliche Fernerkundung“ halten.

Veranstaltungsdetails:

• Datum: Mittwoch, 15. Januar 2025
• Zeit: 12:15 - 13:45 Uhr
• Format: Online via Zoom

Zoom-Meeting beitreten:
Klicken Sie hier, um teilzunehmen

• Meeting-ID: 661 9871 1605
• Kenncode: wjtLp7

Alle Interessierten aus verschiedenen Fachgebieten und Institutionen sind herzlich eingeladen. Vielen Dank, dass Sie diese Einladung an potenziell interessierte Zuhörer:innen weiterleiten!