Machine Learning Talks on Campus

26.04.24
1:00 PM Pretalk 
1:30 PM Talk

## Cancelled ##

STRUCTURES JOUR FIXE
Tensors and deep neural networks for multidimensional function approximations
Prof. Ivan Oseledets, ITWM Kaiserslautern

In this talk, I will discuss the idea of tensor decompositions and their applications for efficient function approximation. Another popular approach are neural networks and neural operators. I will discuss interesting problems and algorithms that arise while using them.

Pretalk by Jakob Zech starts at 1 pm

STRUCTURES

Philosophenweg 12, Großer Hörsaal
or via Zoom

## Cancelled ##

Zoom-Link:
https://zoom.us/j/93565493662?pwd=TWJFeTVFanVqeHVlWmFQMSt2UzdVZz09

ZOOM: Meeting ID: 935 6549 3662, Code: 928036

30.04.24
6 -7 PM

LARGE LANGUAGE MODELS (LLMS) IN DER PRAXIS: ANWENDUNGSBEISPIELE UND ERFOLGSSTRATEGIEN

In diesem Vortrag erfahren Sie, wie generative künstliche Intelligenz (KI) bereits heute verschiedene Industriebereiche revolutioniert. Mithilfe konkreter Anwendungsbeispiele von Large Language Models (LLMs) werden die  vielfältigen Einsatzmöglichkeiten dieser Technologie in der deutschen Industrie verdeutlicht. 

Neben der Erläuterung grundlegender Konzepte erhalten Sie wertvolle Ratschläge für eine erfolgreiche Implementierung. Gemeinsam werden die Chancen und Herausforderungen, die sich aus der Nutzung von LLMs ergebe, diskutiert. 

HMS Analytical Software GmbH

Die Veranstaltung findet online statt.

Der Anmeldelink ist auf der Website.

14.05.24  - 15.05.24

Helmholz Imaging Conference 

Keynote Speaker:
Zeynep Akata is a Liesel Beckmann Distinguished professor of Computer Science at Technical University of Munich and the director of the Institute for Explainable Machine Learning at Helmholtz Munich.

Joost Batenburg is a professor at Computer Science institute of Leiden University (LIACS) and his chair is Imaging and Visualization. He is also affiliated with the national research institute for mathematics and computer science in the Netherlands (CWI) and is program director of the interdisciplinary research program Society, Artificial Intelligence and Life Sciences (SAILS).

The call for abstracts is open.

Registration is still open.

Helmholz Imaging

FRAUENBAD Heidelberg
Bergheimer Strasse 45 
69115 Heidelberg

15.05.24
11 AM

ELLIS Life / NCT Data Science seminar / Heidelberg.ai 
Artificial intelligence-based biomarkers in precision oncology
Jakob Nikolas Kather
TUD Dresden University of Technology

Precision oncology requires complex biomarkers which are often based on molecular and genetic tests of tumor tissue. For many of these tests, universal implementation in clinical practice is limited. However, for virtually every cancer patient, pathology tissue slides stained with hematoxylin and eosin (H&E) are available. Artificial intelligence (AI) can extract biomarkers for better treatment decisions from these images. This talk will summarize the state of the art of AI in oncology for precision oncology biomarkers. It will cover the technical foundations, emerging use cases and established applications which are already available for clinical use.

 

Oliver Stegle, DKFZ

Organization:
Doreen Heckmann-Nötzel (DKFZ)

BioQuant, INF 267, SR041
or Zoom

15.05.24 - 17.05.24

2nd SIMPLAIX Workshop on Machine Learning for Multiscale Molecular Modeling

Invited speakers:
• Roberto Covino
  Frankfurt Institute for Advanced Studies, Germany
• Matteo De Giacomi
  Department of Physics, Durham University, UK
• Boris Kozinsky
  Harvard School of Engineering and Applied Sciences, USA
• Johannes Margraf
   University of Bayreuth, Germany
• Benedetta Mennucci
   Department of Chemistry, University of Pisa, Italy
• Alessandro Troisi
   Department of Chemistry, University of Liverpool, UK
• Julia Westermayr
   Wilhelm-Ostwald-Institute, University of Leipzig,   Germany
• Andrew White
  Department of Chemical Engineering, University of Rochester, USA

SIMPLAIX 
RTG 2450

Studio Villa Bosch Heidelberg, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg

Registration is now open. Registration deadline: 15 April 2024.

21.05.24 - 24.05.24

Chemical Compound Space Conference (CCSC2024)

CCSC2024 will bring together the vibrant community of chemists, physicists, and data scientists who employ quantum machine learning to gain physics-informed understanding of the vast chemical compound space. We have assembled a star-studded lineup of keynote and invited speakers, and hope to see many 

Organisers:
Anya Gryn’ova, Tristan Bereau, Stefan Chmiela, Carolin Müller, Raghu Ramakrishnan, Anatole von Lilienfeld

Heidelberg Congress Center